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# vim:set ts=4 sw=4 sts=4 et:
#
# This file is a YAML representation of the signatures of most igraph
# functions. They are currently used by some of the higher level interfaces to
# generate code using our internal tool called Stimulus
#
# See https://github.com/igraph/stimulus for more information
#######################################
# The basic interface
#######################################
igraph_empty:
PARAMS: OUT GRAPH graph, INTEGER n=0, BOOLEAN directed=True
igraph_add_edges:
PARAMS: INOUT GRAPH graph, VERTEX_INDEX_PAIRS edges, ATTRIBUTES attr
DEPS: edges ON graph
igraph_add_vertices:
PARAMS: INOUT GRAPH graph, INTEGER nv, ATTRIBUTES attr
igraph_copy:
PARAMS: OUT GRAPH to, IN GRAPH from
igraph_delete_edges:
PARAMS: INOUT GRAPH graph, EDGE_SELECTOR edges
DEPS: edges ON graph
igraph_delete_vertices:
PARAMS: INOUT GRAPH graph, VERTEX_SELECTOR vertices
DEPS: vertices ON graph
igraph_delete_vertices_idx:
PARAMS: |-
INOUT GRAPH graph, VERTEX_SELECTOR vertices,
OPTIONAL OUT VECTOR_INT idx,
OPTIONAL OUT VECTOR_INT invidx
DEPS: vertices ON graph
igraph_vcount:
PARAMS: GRAPH graph
RETURN: INTEGER
igraph_ecount:
PARAMS: GRAPH graph
RETURN: INTEGER
igraph_neighbors:
PARAMS: GRAPH graph, OUT VERTEX_INDICES neis, VERTEX vid, NEIMODE mode=ALL
igraph_is_directed:
PARAMS: GRAPH graph
RETURN: BOOLEAN
igraph_degree:
PARAMS: |-
GRAPH graph, OUT VECTOR_INT res, VERTEX_SELECTOR vids=ALL, NEIMODE mode=ALL,
BOOLEAN loops
DEPS: vids ON graph
igraph_edge:
PARAMS: GRAPH graph, INTEGER eid, OUT INTEGER from, OUT INTEGER to
igraph_edges:
PARAMS: GRAPH graph, EDGE_SELECTOR eids, OUT VECTOR_INT edges
DEPS: eids ON graph
igraph_empty_attrs:
PARAMS: OUT GRAPH graph, INTEGER n, BOOLEAN directed, ATTRIBUTES attr
igraph_get_eid:
PARAMS: |-
GRAPH graph, OUT EDGE eid, VERTEX from, VERTEX to,
BOOLEAN directed=True, BOOLEAN error=True
igraph_get_eids:
PARAMS: |-
GRAPH graph, OUT EDGE_INDICES eids, VERTEX_INDEX_PAIRS pairs,
BOOLEAN directed=True, BOOLEAN error=True
DEPS: pairs ON graph
igraph_get_all_eids_between:
PARAMS: |-
GRAPH graph, OUT EDGE_INDICES eids, VERTEX from, VERTEX to,
BOOLEAN directed=True
igraph_incident:
PARAMS: GRAPH graph, OUT EDGE_INDICES eids, VERTEX vid, NEIMODE mode=ALL
igraph_is_same_graph:
PARAMS: GRAPH graph1, GRAPH graph2, OUT BOOLEAN res
#######################################
# Constructors, deterministic
#######################################
igraph_create:
PARAMS: OUT GRAPH graph, VECTOR_INT edges, INTEGER n=0, BOOLEAN directed=True
igraph_adjacency:
PARAMS: |-
OUT GRAPH graph, MATRIX adjmatrix, ADJACENCY_MODE mode=DIRECTED, LOOPS loops=ONCE
igraph_sparse_adjacency:
# adjmatrix is declared as INOUT because it might be modified during the
# construction to eliminate duplicate elements from the representation
PARAMS: |-
OUT GRAPH graph, INOUT SPARSEMAT adjmatrix, ADJACENCY_MODE mode=DIRECTED, LOOPS loops=ONCE
igraph_sparse_weighted_adjacency:
# adjmatrix is declared as INOUT because it might be modified during the
# construction to eliminate duplicate elements from the representation
PARAMS: |-
OUT GRAPH graph, INOUT SPARSEMAT adjmatrix, ADJACENCY_MODE mode=DIRECTED,
OUT EDGEWEIGHTS weights, LOOPS loops=ONCE
igraph_weighted_adjacency:
PARAMS: |-
OUT GRAPH graph, MATRIX adjmatrix, ADJACENCY_MODE mode=DIRECTED,
OUT EDGEWEIGHTS weights, LOOPS loops=ONCE
igraph_star:
PARAMS: OUT GRAPH graph, INTEGER n, STAR_MODE mode=OUT, INTEGER center=0
igraph_wheel:
PARAMS: OUT GRAPH graph, INTEGER n, WHEEL_MODE mode=OUT, INTEGER center=0
igraph_square_lattice:
PARAMS: |-
OUT GRAPH graph, VECTOR_INT dimvector, INTEGER nei=1,
BOOLEAN directed=False, BOOLEAN mutual=False, OPTIONAL VECTOR_BOOL periodic
igraph_ring:
PARAMS: |-
OUT GRAPH graph, INTEGER n, BOOLEAN directed=False, BOOLEAN mutual=False,
BOOLEAN circular=True
igraph_kary_tree:
PARAMS: OUT GRAPH graph, INTEGER n, INTEGER children=2, TREE_MODE type=OUT
igraph_symmetric_tree:
PARAMS: OUT GRAPH graph, VECTOR_INT branches, TREE_MODE type=OUT
igraph_regular_tree:
PARAMS: OUT GRAPH graph, INTEGER h, INTEGER k=3, TREE_MODE type=UNDIRECTED
igraph_full:
PARAMS: OUT GRAPH graph, INTEGER n, BOOLEAN directed=False, BOOLEAN loops=False
igraph_full_citation:
PARAMS: OUT GRAPH graph, INTEGER n, BOOLEAN directed=True
igraph_atlas:
PARAMS: OUT GRAPH graph, INTEGER number=0
igraph_extended_chordal_ring:
PARAMS: OUT GRAPH graph, INTEGER nodes, MATRIX_INT W, BOOLEAN directed=False
igraph_connect_neighborhood:
PARAMS: INOUT GRAPH graph, INTEGER order=2, NEIMODE mode=ALL
igraph_linegraph:
PARAMS: GRAPH graph, OUT GRAPH linegraph
igraph_de_bruijn:
PARAMS: OUT GRAPH graph, INTEGER m, INTEGER n
igraph_kautz:
PARAMS: OUT GRAPH graph, INTEGER m, INTEGER n
igraph_famous:
PARAMS: OUT GRAPH graph, CSTRING name=""
igraph_lcf_vector:
PARAMS: OUT GRAPH graph, INTEGER n, VECTOR_INT shifts, INTEGER repeats=1
igraph_adjlist:
PARAMS: |-
OUT GRAPH graph, ADJLIST adjlist, NEIMODE mode=OUT,
BOOLEAN duplicate=True
igraph_full_bipartite:
PARAMS: |-
OUT GRAPH graph, OPTIONAL OUT BIPARTITE_TYPES types, INTEGER n1,
INTEGER n2, BOOLEAN directed=False, NEIMODE mode=ALL
igraph_full_multipartite:
PARAMS: |-
OUT GRAPH graph, OPTIONAL OUT INDEX_VECTOR types, VECTOR_INT n,
BOOLEAN directed=False, NEIMODE mode=ALL
igraph_realize_degree_sequence:
PARAMS: |-
OUT GRAPH graph, VECTOR_INT out_deg, OPTIONAL VECTOR_INT in_deg=NULL,
EDGE_TYPE_SW allowed_edge_types=SIMPLE, REALIZE_DEGSEQ_METHOD method=SMALLEST
igraph_circulant:
PARAMS: OUT GRAPH graph, INTEGER n, VECTOR_INT shifts, BOOLEAN directed=False
igraph_generalized_petersen:
PARAMS: OUT GRAPH graph, INTEGER n, INTEGER k
igraph_turan:
PARAMS: |-
OUT GRAPH graph, OPTIONAL OUT INDEX_VECTOR types, INTEGER n, INTEGER r
igraph_weighted_sparsemat:
PARAMS:
OUT GRAPH graph, SPARSEMAT A, BOOLEAN directed, CSTRING attr, BOOLEAN loops=False
#######################################
# Constructors, games
#######################################
igraph_barabasi_game:
PARAMS: |-
OUT GRAPH graph, INTEGER n, REAL power=1.0, INTEGER m=1,
OPTIONAL VECTOR_INT outseq, BOOLEAN outpref=False, REAL A=1.0,
BOOLEAN directed=True, BARABASI_ALGORITHM algo=BAG,
OPTIONAL GRAPH start_from
igraph_erdos_renyi_game:
PARAMS: |-
OUT GRAPH graph, ERDOS_RENYI_TYPE type, INTEGER n, REAL p_or_m,
BOOLEAN directed=False, BOOLEAN loops=False
igraph_erdos_renyi_game_gnp:
PARAMS: OUT GRAPH graph, INTEGER n, REAL p, BOOLEAN directed=False, BOOLEAN loops=False
igraph_erdos_renyi_game_gnm:
PARAMS: OUT GRAPH graph, INTEGER n, INTEGER m, BOOLEAN directed=False, BOOLEAN loops=False
igraph_degree_sequence_game:
PARAMS: |-
OUT GRAPH graph, VECTOR_INT out_deg, OPTIONAL VECTOR_INT in_deg,
DEGSEQ_MODE method=SIMPLE
igraph_growing_random_game:
PARAMS: |-
OUT GRAPH graph, INTEGER n, INTEGER m=1, BOOLEAN directed=False,
BOOLEAN citation=False
igraph_barabasi_aging_game:
PARAMS: |-
OUT GRAPH graph, INTEGER nodes, INTEGER m=1, OPTIONAL VECTOR_INT outseq,
BOOLEAN outpref=False, REAL pa_exp=1.0, REAL aging_exp=0.0, INTEGER aging_bin=1,
REAL zero_deg_appeal=1.0, REAL zero_age_appeal=0.0, REAL deg_coef=1.0,
REAL age_coef=1.0, BOOLEAN directed=True
igraph_recent_degree_game:
PARAMS: |-
OUT GRAPH graph, INTEGER n, REAL power=1.0, INTEGER window=1,
INTEGER m=1, OPTIONAL VECTOR_INT outseq, BOOLEAN outpref=False,
REAL zero_appeal=1.0, BOOLEAN directed=True
igraph_recent_degree_aging_game:
PARAMS: |-
OUT GRAPH graph, INTEGER nodes, INTEGER m=1, OPTIONAL VECTOR_INT outseq,
BOOLEAN outpref=False, REAL pa_exp=1.0, REAL aging_exp=0.0, INTEGER aging_bin=1,
INTEGER window=1, REAL zero_appeal=1.0, BOOLEAN directed=True
igraph_callaway_traits_game:
PARAMS: |-
OUT GRAPH graph, INTEGER nodes, INTEGER types,
INTEGER edges_per_step=1, VECTOR type_dist, MATRIX pref_matrix,
BOOLEAN directed=False, OPTIONAL OUT VECTOR_INT node_type_vec
igraph_establishment_game:
PARAMS: |-
OUT GRAPH graph, INTEGER nodes, INTEGER types, INTEGER k=1,
VECTOR type_dist, MATRIX pref_matrix, BOOLEAN directed=True,
OPTIONAL OUT VECTOR_INT node_type_vec
igraph_grg_game:
PARAMS: |-
OUT GRAPH graph, INTEGER nodes, REAL radius, BOOLEAN torus=False,
OPTIONAL OUT VECTOR x, OPTIONAL OUT VECTOR y
igraph_preference_game:
PARAMS: |-
OUT GRAPH graph, INTEGER nodes, INTEGER types,
VECTOR type_dist, BOOLEAN fixed_sizes=False,
MATRIX pref_matrix, OUT VECTOR_INT node_type_vec,
BOOLEAN directed=False, BOOLEAN loops=False
igraph_asymmetric_preference_game:
PARAMS: |-
OUT GRAPH graph, INTEGER nodes, INTEGER out_types, INTEGER in_types,
MATRIX type_dist_matrix, MATRIX pref_matrix,
OUT VECTOR_INT node_type_out_vec, OUT VECTOR_INT node_type_in_vec,
BOOLEAN loops=False
igraph_rewire_edges:
PARAMS: |-
INOUT GRAPH graph, REAL prob, BOOLEAN loops=False,
BOOLEAN multiple=False
igraph_rewire_directed_edges:
PARAMS: |-
INOUT GRAPH graph, REAL prob, BOOLEAN loops=False,
NEIMODE mode=OUT
igraph_watts_strogatz_game:
PARAMS: |-
OUT GRAPH graph, INTEGER dim, INTEGER size, INTEGER nei,
REAL p, BOOLEAN loops=False, BOOLEAN multiple=False
igraph_lastcit_game:
PARAMS: |-
OUT GRAPH graph, INTEGER nodes, INTEGER edges_per_node=1,
INTEGER agebins=1, VECTOR preference, BOOLEAN directed=True
igraph_cited_type_game:
PARAMS: |-
OUT GRAPH graph, INTEGER nodes, INDEX_VECTOR types, VECTOR pref,
INTEGER edges_per_step=1, BOOLEAN directed=True
igraph_citing_cited_type_game:
PARAMS: |-
OUT GRAPH graph, INTEGER nodes, INDEX_VECTOR types, MATRIX pref,
INTEGER edges_per_step=1, BOOLEAN directed=True
igraph_forest_fire_game:
PARAMS: |-
OUT GRAPH graph, INTEGER nodes, REAL fw_prob, REAL bw_factor=1,
INTEGER ambs=1, BOOLEAN directed=True
igraph_simple_interconnected_islands_game:
PARAMS: |-
OUT GRAPH graph, INTEGER islands_n, INTEGER islands_size,
REAL islands_pin, INTEGER n_inter
igraph_static_fitness_game:
PARAMS: |-
OUT GRAPH graph, INTEGER no_of_edges, VECTOR fitness_out,
OPTIONAL VECTOR fitness_in, BOOLEAN loops=False,
BOOLEAN multiple=False
igraph_static_power_law_game:
PARAMS: |-
OUT GRAPH graph, INTEGER no_of_nodes, INTEGER no_of_edges,
REAL exponent_out, REAL exponent_in=-1,
BOOLEAN loops=False, BOOLEAN multiple=False,
BOOLEAN finite_size_correction=True
igraph_k_regular_game:
PARAMS: |-
OUT GRAPH graph, INTEGER no_of_nodes, INTEGER k,
BOOLEAN directed=False, BOOLEAN multiple=False
igraph_sbm_game:
PARAMS: |-
OUT GRAPH graph, INTEGER n, MATRIX pref_matrix,
VECTOR_INT block_sizes, BOOLEAN directed=False,
BOOLEAN loops=False
igraph_hsbm_game:
INTERNAL: true
PARAMS: |-
OUT GRAPH graph, INTEGER n, INTEGER m,
VECTOR rho, MATRIX C, REAL p
igraph_hsbm_list_game:
INTERNAL: true
PARAMS: |-
OUT GRAPH graph, INTEGER n, VECTOR_INT mlist,
VECTOR_LIST rholist, MATRIX_LIST Clist, REAL p
igraph_correlated_game:
PARAMS: |-
GRAPH old_graph, OUT GRAPH new_graph,
REAL corr, REAL p=edge_density(old.graph), OPTIONAL INDEX_VECTOR permutation=NULL
igraph_correlated_pair_game:
PARAMS: |-
OUT GRAPH graph1, OUT GRAPH graph2, INTEGER n, REAL corr,
REAL p, BOOLEAN directed=False,
OPTIONAL INDEX_VECTOR permutation=NULL
igraph_dot_product_game:
PARAMS: OUT GRAPH graph, MATRIX vecs, BOOLEAN directed=False
igraph_sample_sphere_surface:
PARAMS: |-
INTEGER dim, INTEGER n=1, REAL radius=1,
BOOLEAN positive=True, OUT MATRIX res
igraph_sample_sphere_volume:
PARAMS: |-
INTEGER dim, INTEGER n=1, REAL radius=1,
BOOLEAN positive=True, OUT MATRIX res
igraph_sample_dirichlet:
PARAMS: INTEGER n, VECTOR alpha, OUT MATRIX res
#######################################
# Basic query functions
#######################################
igraph_are_connected:
PARAMS: GRAPH graph, VERTEX v1, VERTEX v2, OUT BOOLEAN res
#######################################
# Structural properties
#######################################
igraph_diameter:
PARAMS: |-
GRAPH graph, OUT REAL res, OUT INTEGER from,
OUT INTEGER to, OPTIONAL OUT VECTOR_INT vertex_path,
OPTIONAL OUT VECTOR_INT edge_path,
BOOLEAN directed=True, BOOLEAN unconnected=True
igraph_diameter_dijkstra:
PARAMS: |-
GRAPH graph, EDGEWEIGHTS weights=NULL,
OUT REAL res, OUT INTEGER from, OUT INTEGER to,
OPTIONAL OUT VECTOR_INT vertex_path,
OPTIONAL OUT VECTOR_INT edge_path,
BOOLEAN directed=True, BOOLEAN unconnected=True
DEPS: weights ON graph
igraph_closeness:
PARAMS: |-
GRAPH graph, OUT VERTEX_QTY res,
OPTIONAL OUT VECTOR_INT reachable_count,
OPTIONAL OUT BOOLEAN all_reachable,
VERTEX_SELECTOR vids=ALL,
NEIMODE mode=OUT, EDGEWEIGHTS weights=NULL,
BOOLEAN normalized=False
DEPS: vids ON graph, weights ON graph, res ON graph vids
igraph_closeness_cutoff:
PARAMS: |-
GRAPH graph, OUT VERTEX_QTY res,
OPTIONAL OUT VECTOR_INT reachable_count,
OPTIONAL OUT BOOLEAN all_reachable,
VERTEX_SELECTOR vids=ALL,
NEIMODE mode=OUT, EDGEWEIGHTS weights=NULL,
BOOLEAN normalized=False, REAL cutoff=-1
DEPS: vids ON graph, weights ON graph, res ON graph vids
igraph_distances:
PARAMS: |-
GRAPH graph, OUT MATRIX res, VERTEX_SELECTOR from=ALL,
VERTEX_SELECTOR to=ALL, NEIMODE mode=OUT
DEPS: from ON graph, to ON graph
igraph_distances_cutoff:
PARAMS: |-
GRAPH graph, OUT MATRIX res, VERTEX_SELECTOR from=ALL,
VERTEX_SELECTOR to=ALL, NEIMODE mode=OUT, REAL cutoff=-1
DEPS: from ON graph, to ON graph
igraph_get_shortest_path:
PARAMS: |-
GRAPH graph,
OPTIONAL OUT VERTEX_INDICES vertices, OPTIONAL OUT EDGE_INDICES edges,
VERTEX from, VERTEX to, NEIMODE mode=OUT
DEPS: from ON graph, to ON graph, vertices ON graph, edges ON graph
igraph_get_shortest_path_bellman_ford:
PARAMS: |-
GRAPH graph,
OPTIONAL OUT VERTEX_INDICES vertices, OPTIONAL OUT EDGE_INDICES edges,
VERTEX from, VERTEX to, OPTIONAL EDGEWEIGHTS weights=NULL, NEIMODE mode=OUT
DEPS: from ON graph, to ON graph, weights ON graph, vertices ON graph, edges ON graph
igraph_get_shortest_path_dijkstra:
PARAMS: |-
GRAPH graph,
OPTIONAL OUT VERTEX_INDICES vertices, OPTIONAL OUT EDGE_INDICES edges,
VERTEX from, VERTEX to, OPTIONAL EDGEWEIGHTS weights=NULL, NEIMODE mode=OUT
DEPS: from ON graph, to ON graph, weights ON graph, vertices ON graph, edges ON graph
igraph_get_shortest_paths:
PARAMS: |-
GRAPH graph,
OPTIONAL OUT VERTEXSET_LIST vertices, OPTIONAL OUT EDGESET_LIST edges,
VERTEX from, VERTEX_SELECTOR to=ALL, NEIMODE mode=OUT,
OPTIONAL OUT VECTOR_INT parents,
OPTIONAL OUT VECTOR_INT inbound_edges
DEPS: edges ON graph, from ON graph, to ON graph
igraph_get_all_shortest_paths:
PARAMS: |-
GRAPH graph, OPTIONAL OUT VERTEXSET_LIST vertices,
OPTIONAL OUT EDGESET_LIST edges, OPTIONAL OUT VECTOR_INT nrgeo,
VERTEX from, VERTEX_SELECTOR to, NEIMODE mode=OUT
DEPS: edges ON graph, from ON graph, to ON graph
igraph_distances_dijkstra:
PARAMS: |-
GRAPH graph, OUT MATRIX res, VERTEX_SELECTOR from=ALL,
VERTEX_SELECTOR to=ALL, EDGEWEIGHTS weights, NEIMODE mode=OUT
DEPS: from ON graph, to ON graph, weights ON graph
igraph_distances_dijkstra_cutoff:
PARAMS: |-
GRAPH graph, OUT MATRIX res, VERTEX_SELECTOR from=ALL,
VERTEX_SELECTOR to=ALL, EDGEWEIGHTS weights, NEIMODE mode=OUT, REAL cutoff=-1
DEPS: from ON graph, to ON graph, weights ON graph
igraph_get_shortest_paths_dijkstra:
PARAMS: |-
GRAPH graph, OPTIONAL OUT VERTEXSET_LIST vertices,
OPTIONAL OUT EDGESET_LIST edges, VERTEX from, VERTEX_SELECTOR to=ALL,
EDGEWEIGHTS weights=NULL, NEIMODE mode=OUT,
OPTIONAL OUT VECTOR_INT parents=0,
OPTIONAL OUT VECTOR_INT inbound_edges=0
DEPS: |-
vertices ON graph, edges ON graph, from ON graph, to ON graph,
weights ON graph
igraph_get_shortest_paths_bellman_ford:
PARAMS: |-
GRAPH graph, OPTIONAL OUT VERTEXSET_LIST vertices,
OPTIONAL OUT EDGESET_LIST edges, VERTEX from, VERTEX_SELECTOR to=ALL,
EDGEWEIGHTS weights=NULL, NEIMODE mode=OUT,
OPTIONAL OUT VECTOR_INT parents=0,
OPTIONAL OUT VECTOR_INT inbound_edges=0
DEPS: |-
vertices ON graph, edges ON graph, from ON graph, to ON graph,
weights ON graph
igraph_get_all_shortest_paths_dijkstra:
PARAMS: |-
GRAPH graph, OPTIONAL OUT VERTEXSET_LIST vertices,
OPTIONAL OUT EDGESET_LIST edges, OPTIONAL OUT VECTOR_INT nrgeo,
VERTEX from, VERTEX_SELECTOR to=ALL, EDGEWEIGHTS weights,
NEIMODE mode=OUT
DEPS: |-
weights ON graph, from ON graph, to ON graph, vertices ON graph, edges ON graph
igraph_distances_bellman_ford:
PARAMS: |-
GRAPH graph, OUT MATRIX res, VERTEX_SELECTOR from=ALL,
VERTEX_SELECTOR to=ALL, EDGEWEIGHTS weights, NEIMODE mode=OUT
DEPS: from ON graph, to ON graph, weights ON graph
igraph_distances_johnson:
PARAMS: |-
GRAPH graph, OUT MATRIX res, VERTEX_SELECTOR from=ALL,
VERTEX_SELECTOR to=ALL, EDGEWEIGHTS weights
DEPS: from ON graph, to ON graph, weights ON graph
igraph_distances_floyd_warshall:
PARAMS: |-
GRAPH graph, OUT MATRIX res, EDGEWEIGHTS weights=NULL, NEIMODE mode=OUT
DEPS: weights ON graph
igraph_voronoi:
PARAMS: |-
GRAPH graph, OUT VECTOR_INT membership, OUT VECTOR distances,
VERTEX_INDICES generators, EDGEWEIGHTS weights=NULL, NEIMODE mode=OUT, VORONOI_TIEBREAKER tiebreaker=RANDOM
DEPS: weights ON graph, generators ON graph
igraph_get_all_simple_paths:
PARAMS: |-
GRAPH graph, OUT VERTEX_INDICES res, VERTEX from,
VERTEX_SELECTOR to=ALL, INTEGER cutoff=-1, NEIMODE mode=OUT
DEPS: from ON graph, to ON graph, res ON graph
igraph_get_k_shortest_paths:
PARAMS: |-
GRAPH graph, OPTIONAL EDGEWEIGHTS weights,
OPTIONAL OUT VERTEXSET_LIST vertex_paths,
OPTIONAL OUT EDGESET_LIST edge_paths,
INTEGER k, VERTEX from, VERTEX to, NEIMODE mode=OUT
DEPS: |-
from ON graph, to ON graph, weights ON graph, vertex_paths ON graph, edge_paths ON graph
igraph_get_widest_path:
PARAMS: |-
GRAPH graph,
OPTIONAL OUT VERTEX_INDICES vertices, OPTIONAL OUT EDGE_INDICES edges,
VERTEX from, VERTEX to, EDGEWEIGHTS weights=NULL, NEIMODE mode=OUT
DEPS: |-
from ON graph, to ON graph, weights ON graph, vertices ON graph, edges ON graph
igraph_get_widest_paths:
PARAMS: |-
GRAPH graph,
OPTIONAL OUT VERTEXSET_LIST vertices, OPTIONAL OUT EDGESET_LIST edges,
VERTEX from, VERTEX_SELECTOR to=ALL, EDGEWEIGHTS weights=NULL,
NEIMODE mode=OUT, OPTIONAL OUT VECTOR_INT parents,
OPTIONAL OUT VECTOR_INT inbound_edges
DEPS: |-
from ON graph, to ON graph, weights ON graph, vertices ON graph,
edges ON graph
igraph_widest_path_widths_dijkstra:
PARAMS: |-
GRAPH graph, OUT MATRIX res, VERTEX_SELECTOR from=ALL,
VERTEX_SELECTOR to=ALL, EDGEWEIGHTS weights, NEIMODE mode=OUT
DEPS: from ON graph, to ON graph, weights ON graph
igraph_widest_path_widths_floyd_warshall:
PARAMS: |-
GRAPH graph, OUT MATRIX res, VERTEX_SELECTOR from=ALL,
VERTEX_SELECTOR to=ALL, EDGEWEIGHTS weights, NEIMODE mode=OUT
DEPS: from ON graph, to ON graph, weights ON graph
igraph_spanner:
PARAMS: |-
GRAPH graph, OUT EDGE_INDICES spanner, REAL stretch, EDGEWEIGHTS weights
DEPS: weights ON graph
igraph_subcomponent:
PARAMS: GRAPH graph, OUT VERTEX_INDICES res, VERTEX vid, NEIMODE mode=ALL
DEPS: vid ON graph, res ON graph
igraph_betweenness:
PARAMS: |-
GRAPH graph, OUT VERTEX_QTY res, VERTEX_SELECTOR vids=ALL,
BOOLEAN directed=True, EDGEWEIGHTS weights=NULL
DEPS: weights ON graph, vids ON graph, res ON graph vids
igraph_betweenness_cutoff:
PARAMS: |-
GRAPH graph, OUT VERTEX_QTY res, VERTEX_SELECTOR vids=ALL,
BOOLEAN directed=True, EDGEWEIGHTS weights=NULL,
REAL cutoff=-1
DEPS: vids ON graph, weights ON graph, res ON graph vids
igraph_betweenness_subset:
PARAMS: |-
GRAPH graph, OUT VERTEX_QTY res, VERTEX_SELECTOR vids=ALL,
BOOLEAN directed=True, VERTEX_SELECTOR sources=ALL, VERTEX_SELECTOR targets=ALL,
EDGEWEIGHTS weights=NULL
DEPS: |-
vids ON graph, weights ON graph, res ON graph, sources ON graph, targets ON graph
igraph_edge_betweenness:
PARAMS: |-
GRAPH graph, OUT VECTOR res, BOOLEAN directed=True,
EDGEWEIGHTS weights=NULL
DEPS: weights ON graph
igraph_edge_betweenness_cutoff:
PARAMS: |-
GRAPH graph, OUT VECTOR res, BOOLEAN directed=True,
EDGEWEIGHTS weights=NULL, REAL cutoff=-1
DEPS: weights ON graph
igraph_edge_betweenness_subset:
PARAMS: |-
GRAPH graph, OUT VERTEX_QTY res, EDGE_SELECTOR eids=ALL,
BOOLEAN directed=True, VERTEX_SELECTOR sources=ALL, VERTEX_SELECTOR targets=ALL,
EDGEWEIGHTS weights=NULL
DEPS: |-
eids ON graph, weights ON graph, res ON graph, sources ON graph, targets ON graph
igraph_harmonic_centrality:
PARAMS: |-
GRAPH graph, OUT VERTEX_QTY res, VERTEX_SELECTOR vids=ALL,
NEIMODE mode=OUT, EDGEWEIGHTS weights=NULL, BOOLEAN normalized=False
DEPS: weights ON graph, vids ON graph, res ON graph vids
igraph_harmonic_centrality_cutoff:
PARAMS: |-
GRAPH graph, OUT VERTEX_QTY res, VERTEX_SELECTOR vids=ALL,
NEIMODE mode=OUT, EDGEWEIGHTS weights=NULL, BOOLEAN normalized=False,
REAL cutoff=-1
DEPS: vids ON graph, weights ON graph, res ON graph vids
igraph_pagerank:
PARAMS: |-
GRAPH graph, PAGERANKALGO algo=PRPACK,
OUT VERTEX_QTY vector, OUT REAL value,
VERTEX_SELECTOR vids=ALL, BOOLEAN directed=True,
REAL damping=0.85, EDGEWEIGHTS weights=NULL,
INOUT PAGERANKOPT options=NULL
DEPS: |-
vids ON graph, weights ON graph, vector ON graph,
options ON algo
igraph_personalized_pagerank:
PARAMS: |-
GRAPH graph, PAGERANKALGO algo=PRPACK,
OUT VERTEX_QTY vector, OUT REAL value,
VERTEX_SELECTOR vids=ALL, BOOLEAN directed=True,
REAL damping=0.85, OPTIONAL VECTOR personalized,
OPTIONAL EDGEWEIGHTS weights,
INOUT PAGERANKOPT options=NULL
DEPS: |-
vids ON graph, weights ON graph, vector ON graph vids,
options ON algo
igraph_personalized_pagerank_vs:
PARAMS: |-
GRAPH graph, PAGERANKALGO algo=PRPACK,
PRIMARY OUT VERTEX_QTY vector, OUT REAL value,
VERTEX_SELECTOR vids=ALL, BOOLEAN directed=True,
REAL damping=0.85,
VERTEX_SELECTOR reset_vids,
OPTIONAL EDGEWEIGHTS weights=NULL,
INOUT PAGERANKOPT options=NULL
DEPS: |-
vids ON graph, weights ON graph, vector ON graph vids,
options ON algo
igraph_rewire:
PARAMS: INOUT GRAPH rewire, INTEGER n, REWIRING_MODE mode=SIMPLE
igraph_induced_subgraph:
PARAMS: GRAPH graph, OUT GRAPH res, VERTEX_SELECTOR vids, SUBGRAPH_IMPL impl=AUTO
DEPS: vids ON graph
igraph_subgraph_edges:
PARAMS: GRAPH graph, OUT GRAPH res, EDGE_SELECTOR eids, BOOLEAN delete_vertices=True
DEPS: eids ON graph
igraph_reverse_edges:
PARAMS: INOUT GRAPH graph, EDGE_SELECTOR eids=ALL
DEPS: eids ON graph
igraph_average_path_length:
PARAMS: GRAPH graph, PRIMARY OUT REAL res, OUT REAL unconn_pairs=NULL,
BOOLEAN directed=True, BOOLEAN unconn=True
igraph_average_path_length_dijkstra:
PARAMS: GRAPH graph, PRIMARY OUT REAL res, OUT REAL unconn_pairs=NULL,
EDGEWEIGHTS weights=NULL, BOOLEAN directed=True, BOOLEAN unconn=True
DEPS: weights ON graph
igraph_path_length_hist:
PARAMS: |-
GRAPH graph, OUT VECTOR res, OUT REAL unconnected,
BOOLEAN directed=True
igraph_simplify:
PARAMS: |-
INOUT GRAPH graph, BOOLEAN remove_multiple=True,
BOOLEAN remove_loops=True,
EDGE_ATTRIBUTE_COMBINATION edge_attr_comb=Default
igraph_transitivity_undirected:
PARAMS: GRAPH graph, OUT REAL res, TRANSITIVITY_MODE mode=NAN
igraph_transitivity_local_undirected:
PARAMS: GRAPH graph, OUT VECTOR res, VERTEX_SELECTOR vids=ALL, TRANSITIVITY_MODE mode=NAN
igraph_transitivity_avglocal_undirected:
PARAMS: GRAPH graph, OUT REAL res, TRANSITIVITY_MODE mode=NAN
igraph_transitivity_barrat:
PARAMS: |-
GRAPH graph, OUT VECTOR res, VERTEX_SELECTOR vids=ALL,
EDGEWEIGHTS weights=NULL, TRANSITIVITY_MODE mode=NAN
DEPS: res ON graph, vids ON graph, weights ON graph
igraph_ecc:
PARAMS: |-
GRAPH graph, OUT VECTOR res, EDGE_SELECTOR eids=ALL,
INTEGER k=3, BOOLEAN offset=False, BOOLEAN normalize=True
DEPS: res ON graph, eids ON graph
igraph_reciprocity:
PARAMS: |-
GRAPH graph, OUT REAL res, BOOLEAN ignore_loops=True,
RECIP mode=Default
igraph_constraint:
PARAMS: GRAPH graph, OUT VECTOR res, VERTEX_SELECTOR vids=ALL, OPTIONAL EDGEWEIGHTS weights
DEPS: vids ON graph, weights ON graph
igraph_maxdegree:
PARAMS: |-
GRAPH graph, OUT INTEGER res, VERTEX_SELECTOR vids=ALL, NEIMODE mode=ALL,
BOOLEAN loops=True
DEPS: vids ON graph
igraph_density:
PARAMS: GRAPH graph, OUT REAL res, BOOLEAN loops=False
igraph_neighborhood_size:
PARAMS: |-
GRAPH graph, OUT VECTOR_INT res, VERTEX_SELECTOR vids, INTEGER order,
NEIMODE mode=ALL, INTEGER mindist=0
DEPS: vids ON graph
igraph_neighborhood:
PARAMS: |-
GRAPH graph, OUT VERTEXSET_LIST res,
VERTEX_SELECTOR vids, INTEGER order,
NEIMODE mode=ALL, INTEGER mindist=0
DEPS: res ON graph, vids ON graph
igraph_neighborhood_graphs:
PARAMS: |-
GRAPH graph, OUT GRAPH_LIST res, VERTEX_SELECTOR vids,
INTEGER order,
NEIMODE mode=ALL, INTEGER mindist=0
DEPS: vids ON graph
igraph_topological_sorting:
PARAMS: GRAPH graph, OUT VECTOR_INT res, NEIMODE mode=OUT
igraph_feedback_arc_set:
# Default algorithm is the approximate method because it is faster and the
# function is _not_ called igraph_minimum_feedback_arc_set
PARAMS: GRAPH graph, OUT EDGE_INDICES result, EDGEWEIGHTS weights=NULL, FAS_ALGORITHM algo=APPROX_EADES
DEPS: result ON graph, weights ON graph
igraph_is_loop:
PARAMS: GRAPH graph, OUT VECTOR_BOOL res, EDGE_SELECTOR es=ALL
DEPS: es ON graph
igraph_is_dag:
PARAMS: GRAPH graph, OUT BOOLEAN res
igraph_is_acyclic:
PARAMS: GRAPH graph, OUT BOOLEAN res
igraph_is_simple:
PARAMS: GRAPH graph, OUT BOOLEAN res
igraph_is_multiple:
PARAMS: GRAPH graph, OUT VECTOR_BOOL res, EDGE_SELECTOR es=ALL
DEPS: es ON graph
igraph_has_loop:
PARAMS: GRAPH graph, OUT BOOLEAN res
igraph_has_multiple:
PARAMS: GRAPH graph, OUT BOOLEAN res
igraph_count_multiple:
PARAMS: GRAPH graph, OUT VECTOR_INT res, EDGE_SELECTOR es=ALL
DEPS: es ON graph
igraph_girth:
PARAMS: GRAPH graph, OUT REAL girth, OUT VERTEX_INDICES circle
DEPS: circle ON graph
igraph_is_perfect:
PARAMS: GRAPH graph, OUT BOOLEAN res
igraph_add_edge:
PARAMS: INOUT GRAPH graph, INTEGER from, INTEGER to
igraph_eigenvector_centrality:
PARAMS: |-
GRAPH graph, OUT VERTEX_QTY vector, OUT REAL value,
BOOLEAN directed=False, BOOLEAN scale=True,
EDGEWEIGHTS weights=NULL,
INOUT ARPACKOPT options=arpack_defaults
DEPS: weights ON graph, vector ON graph
igraph_hub_score:
PARAMS: |-
GRAPH graph, OUT VERTEX_QTY vector, OUT REAL value,
BOOLEAN scale=True, EDGEWEIGHTS weights=NULL,
INOUT ARPACKOPT options=arpack_defaults
DEPS: weights ON graph, vector ON graph
igraph_authority_score:
PARAMS: |-
GRAPH graph, OUT VERTEX_QTY vector, OUT REAL value,
BOOLEAN scale=True, EDGEWEIGHTS weights=NULL,
INOUT ARPACKOPT options=arpack_defaults
DEPS: weights ON graph, vector ON graph
igraph_hub_and_authority_scores:
PARAMS: |-
GRAPH graph, OUT VERTEX_QTY hub_vector, OUT VERTEX_QTY authority_vector,
OUT REAL value, BOOLEAN scale=True, EDGEWEIGHTS weights=NULL,
INOUT ARPACKOPT options=arpack_defaults
igraph_unfold_tree:
PARAMS: |-
GRAPH graph, OUT GRAPH tree, NEIMODE mode=ALL, VECTOR_INT roots,
OPTIONAL OUT INDEX_VECTOR vertex_index
igraph_is_mutual:
PARAMS: GRAPH graph, OUT VECTOR_BOOL res, EDGE_SELECTOR es=ALL, BOOLEAN loops=True
DEPS: es ON graph
igraph_has_mutual:
PARAMS: GRAPH graph, OUT BOOLEAN res, BOOLEAN loops=True
igraph_maximum_cardinality_search:
PARAMS: GRAPH graph, OPTIONAL OUT INDEX_VECTOR alpha, OPTIONAL OUT VERTEX_INDICES alpham1
DEPS: alpham1 ON graph
igraph_is_chordal:
PARAMS: |-
GRAPH graph, OPTIONAL INDEX_VECTOR alpha=NULL, OPTIONAL VERTEX_INDICES alpham1=NULL,
OPTIONAL OUT BOOLEAN chordal, OPTIONAL OUT VECTOR_INT fillin,
OPTIONAL OUT GRAPH newgraph
DEPS: alpham1 ON graph
igraph_avg_nearest_neighbor_degree:
PARAMS: |-
GRAPH graph, VERTEX_SELECTOR vids=ALL,
NEIMODE mode=ALL, NEIMODE neighbor_degree_mode=ALL,
OPTIONAL OUT VERTEX_QTY knn, OPTIONAL OUT VECTOR knnk,
EDGEWEIGHTS weights=NULL
DEPS: vids ON graph, weights ON graph, knn ON graph vids
igraph_strength:
PARAMS: |-
GRAPH graph, OUT VERTEX_QTY res, VERTEX_SELECTOR vids=ALL,
NEIMODE mode=ALL, BOOLEAN loops=True, EDGEWEIGHTS weights=NULL
DEPS: vids ON graph, weights ON graph, res ON graph vids
igraph_centralization:
PARAMS: VECTOR scores, REAL theoretical_max=0, BOOLEAN normalized=True
RETURN: REAL
igraph_centralization_degree:
PARAMS: |-
GRAPH graph, OUT VECTOR res,
NEIMODE mode=ALL, BOOLEAN loops=True,
OUT REAL centralization, OUT REAL theoretical_max,
BOOLEAN normalized=True
igraph_centralization_degree_tmax:
# The general consensus is that the 'loops' argument of this function
# should not have a default value; see this comment from @torfason:
# https://github.com/igraph/rigraph/issues/369#issuecomment-939893681
PARAMS: |-
OPTIONAL GRAPH graph, INTEGER nodes=0, NEIMODE mode=ALL,
BOOLEAN loops, OUT REAL res
igraph_centralization_betweenness:
PARAMS: |-
GRAPH graph, OUT VECTOR res,
BOOLEAN directed=True,
OUT REAL centralization,
OUT REAL theoretical_max,
BOOLEAN normalized=True
igraph_centralization_betweenness_tmax:
PARAMS: |-
OPTIONAL GRAPH graph, INTEGER nodes=0,
BOOLEAN directed=True, OUT REAL res
igraph_centralization_closeness:
PARAMS: |-
GRAPH graph, OUT VECTOR res,
NEIMODE mode=OUT, OUT REAL centralization,
OUT REAL theoretical_max,
BOOLEAN normalized=True
igraph_centralization_closeness_tmax:
PARAMS: |-
OPTIONAL GRAPH graph, INTEGER nodes=0,
NEIMODE mode=OUT, OUT REAL res
igraph_centralization_eigenvector_centrality:
PARAMS: |-
GRAPH graph, OUT VECTOR vector, OUT REAL value,
BOOLEAN directed=False, BOOLEAN scale=True,
INOUT ARPACKOPT options=arpack_defaults,
OUT REAL centralization, OUT REAL theoretical_max,
BOOLEAN normalized=True
igraph_centralization_eigenvector_centrality_tmax:
PARAMS: |-
OPTIONAL GRAPH graph, INTEGER nodes=0,
BOOLEAN directed=False, BOOLEAN scale=True,
OUT REAL res
igraph_assortativity_nominal:
PARAMS: |-
GRAPH graph, INDEX_VECTOR types, OUT REAL res,
BOOLEAN directed=True, BOOLEAN normalized=True
igraph_assortativity:
PARAMS: |-
GRAPH graph, VECTOR values, OPTIONAL VECTOR values_in,
OUT REAL res, BOOLEAN directed=True, BOOLEAN normalized=True
igraph_assortativity_degree:
PARAMS: GRAPH graph, OUT REAL res, BOOLEAN directed=True
igraph_contract_vertices:
PARAMS: |-
INOUT GRAPH graph, INDEX_VECTOR mapping,
VERTEX_ATTRIBUTE_COMBINATION vertex_attr_comb=Default
igraph_eccentricity:
PARAMS: |-
GRAPH graph, OUT VERTEX_QTY res, VERTEX_SELECTOR vids=ALL,
NEIMODE mode=ALL
DEPS: vids ON graph, res ON graph vids
igraph_eccentricity_dijkstra:
PARAMS: |-
GRAPH graph, EDGEWEIGHTS weights=NULL,
OUT VERTEX_QTY res, VERTEX_SELECTOR vids=ALL,
NEIMODE mode=ALL
DEPS: weights ON graph, vids ON graph, res ON graph vids
igraph_graph_center:
PARAMS: |-
GRAPH graph, OUT VERTEX_INDICES res, NEIMODE mode=ALL
DEPS: res ON graph
igraph_radius:
PARAMS: GRAPH graph, OUT REAL radius, NEIMODE mode=ALL
igraph_pseudo_diameter:
NAME-R: pseudo_diameter
PARAMS: |-
GRAPH graph, OUT REAL diameter, VERTEX start_vid,
OUT INTEGER from=NULL, OUT INTEGER to=NULL,
BOOLEAN directed=True, BOOLEAN unconnected=True
igraph_pseudo_diameter_dijkstra:
NAME-R: pseudo_diameter
PARAMS: |-
GRAPH graph, EDGEWEIGHTS weights=NULL,
OUT REAL diameter, VERTEX start_vid,
OUT INTEGER from=NULL, OUT INTEGER to=NULL,
BOOLEAN directed=True, BOOLEAN unconnected=True
DEPS: weights ON graph
igraph_diversity:
PARAMS: |-
GRAPH graph, EDGEWEIGHTS weights=NULL, OUT VERTEX_QTY res,
VERTEX_SELECTOR vids=ALL
DEPS: weights ON graph, vids ON graph, res ON graph vids
igraph_random_walk:
PARAMS: |-
GRAPH graph, EDGEWEIGHTS weights=NULL, OUT VERTEX_INDICES vertices, OUT EDGE_INDICES edges,
VERTEX start, NEIMODE mode=OUT, INTEGER steps, RWSTUCK stuck=RETURN
DEPS: start ON graph, weights ON graph, vertices ON graph, edges ON graph
igraph_random_edge_walk:
PARAMS: |-
GRAPH graph, EDGEWEIGHTS weights=NULL, OUT EDGE_INDICES edgewalk,
VERTEX start, NEIMODE mode=OUT, INTEGER steps, RWSTUCK stuck=RETURN
DEPS: start ON graph, weights ON graph, edgewalk ON graph
igraph_global_efficiency:
PARAMS: GRAPH graph, OUT REAL res, EDGEWEIGHTS weights=NULL, BOOLEAN directed=True
DEPS: weights ON graph
igraph_local_efficiency:
PARAMS: |-
GRAPH graph, OUT VERTEX_QTY res, VERTEX_SELECTOR vids=ALL,
EDGEWEIGHTS weights=NULL, BOOLEAN directed=True, NEIMODE mode=ALL
DEPS: vids ON graph, weights ON graph, res ON graph vids
igraph_average_local_efficiency:
PARAMS: |-
GRAPH graph, OUT REAL res, EDGEWEIGHTS weights=NULL,
BOOLEAN directed=True, NEIMODE mode=ALL
DEPS: weights ON graph
igraph_transitive_closure_dag:
PARAMS: GRAPH graph, OUT GRAPH closure
igraph_trussness:
PARAMS: GRAPH graph, OUT VECTOR_INT trussness
#######################################
# Degree sequences
#######################################
igraph_is_bigraphical:
PARAMS: |-
VECTOR_INT degrees1, VECTOR_INT degrees2,
EDGE_TYPE_SW allowed_edge_types=SIMPLE, OUT BOOLEAN res
igraph_is_graphical:
PARAMS: |-
VECTOR_INT out_deg, OPTIONAL VECTOR_INT in_deg,
EDGE_TYPE_SW allowed_edge_types=SIMPLE, OUT BOOLEAN res
#######################################
# Visitors
#######################################
igraph_bfs:
PARAMS: |-
GRAPH graph, VERTEX root, OPTIONAL VERTEX_INDICES roots,
NEIMODE mode=OUT, BOOLEAN unreachable,
VERTEX_INDICES restricted,
OUT VERTEX_INDICES order, OUT VECTOR_INT rank,
OUT VECTOR_INT parents,
OUT VECTOR_INT pred, OUT VECTOR_INT succ,
OUT VECTOR_INT dist, BFS_FUNC callback, EXTRA extra
igraph_bfs_simple:
PARAMS: |-
GRAPH graph, VERTEX root,
NEIMODE mode=OUT,
OUT VERTEX_INDICES order,
OUT VECTOR_INT layers,
OUT VECTOR_INT parents
igraph_dfs:
PARAMS: |-
GRAPH graph, VERTEX root, NEIMODE mode=OUT, BOOLEAN unreachable,
OUT VERTEX_INDICES order, OUT VERTEX_INDICES order_out,
OUT VECTOR_INT father, OUT VECTOR_INT dist,
DFS_FUNC in_callback, DFS_FUNC out_callback, EXTRA extra
#######################################
# Bipartite graphs
#######################################
igraph_bipartite_projection_size:
PARAMS: |-
GRAPH graph, BIPARTITE_TYPES types=NULL,
OUT INTEGER vcount1, OUT INTEGER ecount1,
OUT INTEGER vcount2, OUT INTEGER ecount2
DEPS: types ON graph
igraph_bipartite_projection:
PARAMS: |-
GRAPH graph, BIPARTITE_TYPES types=NULL,
OUT GRAPH proj1, OUT GRAPH proj2,
OPTIONAL OUT VECTOR_INT multiplicity1,
OPTIONAL OUT VECTOR_INT multiplicity2, INTEGER probe1=-1
DEPS: types ON graph
igraph_create_bipartite:
PARAMS: |-
OUT GRAPH graph, IN BIPARTITE_TYPES types,
VECTOR_INT edges, BOOLEAN directed=False
igraph_incidence:
PARAMS: |-
OUT GRAPH graph, OUT BIPARTITE_TYPES types, MATRIX incidence,
BOOLEAN directed=False, NEIMODE mode=ALL,
BOOLEAN multiple=False
igraph_get_incidence:
PARAMS: |-
GRAPH graph, BIPARTITE_TYPES types=NULL, OUT MATRIX res,
OPTIONAL OUT INDEX_VECTOR row_ids, OPTIONAL OUT INDEX_VECTOR col_ids
DEPS: types ON graph
igraph_is_bipartite:
PARAMS: GRAPH graph, OUT BOOLEAN res, OPTIONAL OUT BIPARTITE_TYPES type
igraph_bipartite_game_gnp:
PARAMS: |-
OUT GRAPH graph, OPTIONAL OUT BIPARTITE_TYPES types,
INTEGER n1, INTEGER n2, REAL p, BOOLEAN directed=False,
NEIMODE mode=ALL
igraph_bipartite_game_gnm:
PARAMS: |-
OUT GRAPH graph, OPTIONAL OUT BIPARTITE_TYPES types,
INTEGER n1, INTEGER n2, INTEGER m, BOOLEAN directed=False,
NEIMODE mode=ALL
igraph_bipartite_game:
PARAMS: |-
OUT GRAPH graph, OPTIONAL OUT BIPARTITE_TYPES types,
ERDOS_RENYI_TYPE type, INTEGER n1, INTEGER n2, REAL p=0.0,
INTEGER m=0, BOOLEAN directed=False, NEIMODE mode=ALL
#######################################
# Spectral properties
#######################################
igraph_get_laplacian:
PARAMS: |-
GRAPH graph, OUT MATRIX res, NEIMODE mode=OUT,
LAPLACIAN_NORMALIZATION normalization=UNNORMALIZED, EDGEWEIGHTS weights=NULL
DEPS: weights ON graph
igraph_get_laplacian_sparse:
PARAMS: |-
GRAPH graph, OUT SPARSEMAT sparseres, NEIMODE mode=OUT,
LAPLACIAN_NORMALIZATION normalization=UNNORMALIZED, EDGEWEIGHTS weights=NULL
DEPS: weights ON graph
#######################################
# Components
#######################################
igraph_connected_components:
PARAMS: |-
GRAPH graph, PRIMARY OUT VECTOR_INT membership, OUT VECTOR_INT csize,
OUT INTEGER no, CONNECTEDNESS mode=WEAK
igraph_is_connected:
PARAMS: GRAPH graph, OUT BOOLEAN res, CONNECTEDNESS mode=WEAK
igraph_decompose:
PARAMS: |-
GRAPH graph, OUT GRAPH_LIST components, CONNECTEDNESS mode=WEAK,
INTEGER maxcompno=-1, INTEGER minelements=1
igraph_articulation_points:
PARAMS: GRAPH graph, OUT VERTEX_INDICES res
DEPS: res ON graph
igraph_biconnected_components:
PARAMS: |-
GRAPH graph, OUT INTEGER no,
OPTIONAL OUT EDGESET_LIST tree_edges,
OPTIONAL OUT EDGESET_LIST component_edges,
OPTIONAL OUT VERTEXSET_LIST components,
OUT VERTEX_INDICES articulation_points
DEPS: |-
tree_edges ON graph, component_edges ON graph,
components ON graph, articulation_points ON graph
igraph_bridges:
PARAMS: GRAPH graph, OUT EDGE_INDICES res
DEPS: res ON graph
#######################################
# Cliques
#######################################
igraph_cliques:
PARAMS: |-
GRAPH graph, OUT VERTEXSET_LIST res, INTEGER min_size=0,
INTEGER max_size=0
DEPS: res ON graph
igraph_cliques_callback:
PARAMS: |-
GRAPH graph, INTEGER min_size=0, INTEGER max_size=0,
CLIQUE_FUNC cliquehandler_fn, EXTRA arg
igraph_clique_size_hist:
PARAMS: |-
GRAPH graph, OUT VECTOR hist, INTEGER min_size=0, INTEGER max_size=0
igraph_largest_cliques:
PARAMS: GRAPH graph, OUT VERTEXSET_LIST res
DEPS: res ON graph
igraph_maximal_cliques:
PARAMS: GRAPH graph, OUT VERTEXSET_LIST res, INTEGER min_size=0, INTEGER max_size=0
DEPS: res ON graph
igraph_maximal_cliques_subset:
PARAMS: |-
GRAPH graph, VERTEX_INDICES subset, PRIMARY OUT VERTEXSET_LIST res,
OUT INTEGER no, OUTFILE outfile=NULL, INTEGER min_size=0, INTEGER max_size=0
DEPS: subset ON graph, res ON graph
igraph_maximal_cliques_callback:
PARAMS: |-
GRAPH graph, CLIQUE_FUNC cliquehandler_fn, EXTRA arg,
INTEGER min_size=0, INTEGER max_size=0
igraph_maximal_cliques_count:
PARAMS: |-
GRAPH graph, OUT INTEGER no, INTEGER min_size=0, INTEGER max_size=0
igraph_maximal_cliques_file:
PARAMS: |-
GRAPH graph, OUTFILE res, INTEGER min_size=0, INTEGER max_size=0
igraph_maximal_cliques_hist:
PARAMS: |-
GRAPH graph, OUT VECTOR hist, INTEGER min_size=0, INTEGER max_size=0
igraph_clique_number:
PARAMS: GRAPH graph, OUT INTEGER no
igraph_weighted_cliques:
PARAMS: |-
GRAPH graph, VERTEXWEIGHTS vertex_weights=NULL, OUT VERTEXSET_LIST res,
REAL min_weight=0, REAL max_weight=0, BOOLEAN maximal=False
DEPS: vertex_weights ON graph, res ON graph
igraph_largest_weighted_cliques:
PARAMS: |-
GRAPH graph, VERTEXWEIGHTS vertex_weights=NULL, OUT VERTEXSET_LIST res
DEPS: vertex_weights ON graph, res ON graph
igraph_weighted_clique_number:
PARAMS: GRAPH graph, VERTEXWEIGHTS vertex_weights=NULL, OUT REAL res
DEPS: vertex_weights ON graph
igraph_independent_vertex_sets:
PARAMS: |-
GRAPH graph, OUT VERTEXSET_LIST res, INTEGER min_size=0,
INTEGER max_size=0
DEPS: res ON graph
igraph_largest_independent_vertex_sets:
PARAMS: GRAPH graph, OUT VERTEXSET_LIST res
DEPS: res ON graph
igraph_maximal_independent_vertex_sets:
PARAMS: GRAPH graph, OUT VERTEXSET_LIST res
DEPS: res ON graph
igraph_independence_number:
PARAMS: GRAPH graph, OUT INTEGER no
#######################################
# Layouts
#######################################
igraph_layout_random:
PARAMS: GRAPH graph, OUT MATRIX res
igraph_layout_circle:
PARAMS: GRAPH graph, OUT MATRIX res, VERTEX_SELECTOR order=ALL
DEPS: order ON graph
igraph_layout_star:
PARAMS: |-
GRAPH graph, OUT MATRIX res, VERTEX center=V(graph)[1],
OPTIONAL INDEX_VECTOR order=NULL
DEPS: center ON graph
igraph_layout_grid:
PARAMS: GRAPH graph, OUT MATRIX res, INTEGER width=0
igraph_layout_grid_3d:
PARAMS: GRAPH graph, OUT MATRIX res, INTEGER width=0, INTEGER height=0
igraph_layout_fruchterman_reingold:
PARAMS: |-
GRAPH graph, INOUT MATRIX coords=NULL,
BOOLEAN use_seed=False, INTEGER niter=500,
REAL start_temp=sqrt(vcount(graph)),
LAYOUT_GRID grid=AUTO, EDGEWEIGHTS weights=NULL,
OPTIONAL VECTOR minx, OPTIONAL VECTOR maxx,
OPTIONAL VECTOR miny, OPTIONAL VECTOR maxy,
DEPRECATED coolexp, DEPRECATED maxdelta, DEPRECATED area,
DEPRECATED repulserad
DEPS: weights ON graph
igraph_layout_kamada_kawai:
PARAMS: |-
GRAPH graph, INOUT MATRIX coords, BOOLEAN use_seed=False,
INTEGER maxiter=500, REAL epsilon=0.0,
REAL kkconst=vcount(graph), EDGEWEIGHTS weights=NULL,
OPTIONAL VECTOR minx, OPTIONAL VECTOR maxx,
OPTIONAL VECTOR miny, OPTIONAL VECTOR maxy
DEPS: weights ON graph
igraph_layout_lgl:
PARAMS: |-
GRAPH graph, OUT MATRIX res, INTEGER maxiter=150, REAL maxdelta=VCOUNT(graph),
REAL area=VCOUNT(graph)^2, REAL coolexp=1.5, REAL repulserad=VCOUNT(graph)^3, REAL cellsize=VCOUNT(graph),
INTEGER root=-1
igraph_layout_reingold_tilford:
PARAMS: |-
GRAPH graph, OUT MATRIX res, NEIMODE mode=OUT,
OPTIONAL VERTEX_INDICES roots, OPTIONAL VECTOR_INT rootlevel
igraph_layout_reingold_tilford_circular:
PARAMS: |-
GRAPH graph, OUT MATRIX res, NEIMODE mode=OUT,
OPTIONAL VERTEX_INDICES roots, OPTIONAL VECTOR_INT rootlevel
igraph_roots_for_tree_layout:
PARAMS: |-
GRAPH graph, NEIMODE mode=OUT, OUT VERTEX_INDICES roots, ROOTCHOICE heuristic
DEPS: roots ON graph
igraph_layout_random_3d:
PARAMS: GRAPH graph, OUT MATRIX res
igraph_layout_sphere:
PARAMS: GRAPH graph, OUT MATRIX res
igraph_layout_fruchterman_reingold_3d:
PARAMS: |-
GRAPH graph, INOUT MATRIX coords=NULL,
BOOLEAN use_seed=False, INTEGER niter=500,
REAL start_temp=sqrt(vcount(graph)),
EDGEWEIGHTS weights=NULL,
OPTIONAL VECTOR minx, OPTIONAL VECTOR maxx,
OPTIONAL VECTOR miny, OPTIONAL VECTOR maxy,
OPTIONAL VECTOR minz, OPTIONAL VECTOR maxz,
DEPRECATED coolexp, DEPRECATED maxdelta, DEPRECATED area,
DEPRECATED repulserad
DEPS: weights ON graph
igraph_layout_kamada_kawai_3d:
PARAMS: |-
GRAPH graph, INOUT MATRIX coords, BOOLEAN use_seed=False,
INTEGER maxiter=500, REAL epsilon=0.0,
REAL kkconst=vcount(graph), EDGEWEIGHTS weights=NULL,
OPTIONAL VECTOR minx, OPTIONAL VECTOR maxx,
OPTIONAL VECTOR miny, OPTIONAL VECTOR maxy,
OPTIONAL VECTOR minz, OPTIONAL VECTOR maxz
DEPS: weights ON graph
igraph_layout_graphopt:
PARAMS: |-
GRAPH graph, INOUT MATRIX res, INTEGER niter=500,
REAL node_charge=0.001, REAL node_mass=30,
REAL spring_length=0, REAL spring_constant=1,
REAL max_sa_movement=5, BOOLEAN use_seed=False
igraph_layout_drl:
PARAMS: |-
GRAPH graph, INOUT MATRIX res, BOOLEAN use_seed=False,
DRL_OPTIONS options=drl_defaults$default, OPTIONAL EDGEWEIGHTS weights
igraph_layout_drl_3d:
PARAMS: |-
GRAPH graph, INOUT MATRIX res, BOOLEAN use_seed=False,
DRL_OPTIONS options=drl_defaults$default, OPTIONAL EDGEWEIGHTS weights
igraph_layout_merge_dla:
PARAMS: GRAPH_PTR_LIST graphs, MATRIX_LIST coords, OUT MATRIX res
igraph_layout_sugiyama:
PARAMS: |-
GRAPH graph, OUT MATRIX res, OPTIONAL OUT GRAPH extd_graph,
OPTIONAL OUT INDEX_VECTOR extd_to_orig_eids,
OPTIONAL INDEX_VECTOR layers=NULL,
REAL hgap=1, REAL vgap=1, INTEGER maxiter=100,
EDGEWEIGHTS weights=NULL
DEPS: weights ON graph
igraph_layout_mds:
PARAMS: |-
GRAPH graph, OUT MATRIX res, OPTIONAL MATRIX dist, INTEGER dim=2
igraph_layout_bipartite:
PARAMS: |-
GRAPH graph, BIPARTITE_TYPES types=NULL, OUT MATRIX res,
REAL hgap=1, REAL vgap=1, INTEGER maxiter=100
DEPS: types ON graph
igraph_layout_gem:
PARAMS: |-
GRAPH graph, INOUT MATRIX res=matrix(),
BOOLEAN use_seed=False,
INTEGER maxiter=40*vcount(graph)^2,
REAL temp_max=vcount(graph),
REAL temp_min=1/10, REAL temp_init=sqrt(vcount(graph))
igraph_layout_davidson_harel:
PARAMS: |-
GRAPH graph, INOUT MATRIX res=matrix(),
BOOLEAN use_seed=False, INTEGER maxiter=10,
INTEGER fineiter=FINEITER, REAL cool_fact=0.75,
REAL weight_node_dist=1.0, REAL weight_border=0.0,
REAL weight_edge_lengths=ELENW,
REAL weight_edge_crossings=ECROSSW,
REAL weight_node_edge_dist=NEDISTW
igraph_layout_umap:
PARAMS: |-
GRAPH graph, INOUT MATRIX res, BOOLEAN use_seed=False,
VECTOR distances=NULL, REAL min_dist=0.01, INTEGER epochs=500,
REAL sampling_prob
igraph_layout_umap_3d:
PARAMS: |-
GRAPH graph, INOUT MATRIX res, BOOLEAN use_seed=False,
VECTOR distances=NULL, REAL min_dist=0.01, INTEGER epochs=500,
REAL sampling_prob
#######################################
# Cocitation and other similarity measures
#######################################
igraph_cocitation:
PARAMS: GRAPH graph, OUT MATRIX res, VERTEX_SELECTOR vids=ALL
DEPS: vids ON graph
igraph_bibcoupling:
PARAMS: GRAPH graph, OUT MATRIX res, VERTEX_SELECTOR vids=ALL
DEPS: vids ON graph
igraph_similarity_dice:
PARAMS: |-
GRAPH graph, OUT MATRIX res, VERTEX_SELECTOR vids=ALL, NEIMODE mode=ALL,
BOOLEAN loops=False
DEPS: vids ON graph
igraph_similarity_dice_es:
PARAMS: |-
GRAPH graph, OUT VECTOR res, EDGE_SELECTOR es=ALL, NEIMODE mode=ALL,
BOOLEAN loops=False
DEPS: es ON graph
igraph_similarity_dice_pairs:
PARAMS: |-
GRAPH graph, OUT VECTOR res, VERTEX_INDEX_PAIRS pairs, NEIMODE mode=ALL,
BOOLEAN loops=False
DEPS: pairs ON graph
igraph_similarity_inverse_log_weighted:
PARAMS: GRAPH graph, OUT MATRIX res, VERTEX_SELECTOR vids=ALL, NEIMODE mode=ALL
DEPS: vids ON graph
igraph_similarity_jaccard:
PARAMS: |-
GRAPH graph, OUT MATRIX res, VERTEX_SELECTOR vids=ALL, NEIMODE mode=ALL,
BOOLEAN loops=False
DEPS: vids ON graph res, mode ON vids
igraph_similarity_jaccard_es:
PARAMS: |-
GRAPH graph, OUT VECTOR res, EDGE_SELECTOR es=ALL, NEIMODE mode=ALL,
BOOLEAN loops=False
DEPS: es ON graph
igraph_similarity_jaccard_pairs:
PARAMS: |-
GRAPH graph, OUT VECTOR res, VERTEX_INDEX_PAIRS pairs, NEIMODE mode=ALL,
BOOLEAN loops=False
DEPS: pairs ON graph
#######################################
# Community structure
#######################################
igraph_compare_communities:
PARAMS: |-
VECTOR_INT comm1, VECTOR_INT comm2, OUT REAL res, COMMCMP method=VI
igraph_community_spinglass:
PARAMS: |-
GRAPH graph, OPTIONAL EDGEWEIGHTS weights, OUT REAL modularity,
OUT REAL temperature, OUT VECTOR_INT membership, OUT VECTOR_INT csize,
INTEGER spins=25, BOOLEAN parupdate=False, REAL starttemp=1, REAL stoptemp=0.01,
REAL coolfact=0.99, SPINCOMMUPDATE update_rule=CONFIG, REAL gamma=1.0,
SPINGLASS_IMPLEMENTATION implementation=ORIG, REAL lambda=1.0
igraph_community_spinglass_single:
PARAMS: |-
GRAPH graph, OPTIONAL EDGEWEIGHTS weights, INTEGER vertex,
OUT VECTOR_INT community, OUT REAL cohesion, OUT REAL adhesion,
OUT INTEGER inner_links, OUT INTEGER outer_links,
INTEGER spins=25, SPINCOMMUPDATE update_rule=CONFIG, REAL gamma=1.0
igraph_community_walktrap:
PARAMS: |-
GRAPH graph, OPTIONAL EDGEWEIGHTS weights, INTEGER steps=4,
OUT MATRIX_INT merges, OUT VECTOR modularity, OUT VECTOR_INT membership
igraph_community_edge_betweenness:
PARAMS: |-
GRAPH graph, OUT VECTOR_INT result, OPTIONAL OUT VECTOR edge_betweenness,
OPTIONAL OUT MATRIX_INT merges, OPTIONAL OUT INDEX_VECTOR bridges,
OPTIONAL OUT VECTOR modularity, OPTIONAL OUT VECTOR_INT membership,
BOOLEAN directed=True, OPTIONAL EDGEWEIGHTS weights=NULL
DEPS: weights ON graph
igraph_community_eb_get_merges:
PARAMS: |-
GRAPH graph, BOOLEAN directed, EDGE_INDICES edges, OPTIONAL EDGEWEIGHTS weights,
OPTIONAL OUT MATRIX_INT merges, OPTIONAL OUT INDEX_VECTOR bridges,
OPTIONAL OUT VECTOR modularity, OPTIONAL OUT VECTOR_INT membership
DEPS: weights ON graph
igraph_community_fastgreedy:
PARAMS: |-
GRAPH graph, OPTIONAL EDGEWEIGHTS weights, OUT MATRIX_INT merges,
OPTIONAL OUT VECTOR modularity, OPTIONAL OUT VECTOR_INT membership
DEPS: weights ON graph
igraph_community_to_membership:
PARAMS: |-
MATRIX_INT merges, INTEGER nodes, INTEGER steps,
OPTIONAL OUT VECTOR_INT membership, OPTIONAL OUT VECTOR_INT csize
igraph_le_community_to_membership:
PARAMS: |-
MATRIX_INT merges, INTEGER steps, INOUT VECTOR_INT membership,
OPTIONAL OUT VECTOR_INT csize
igraph_modularity:
PARAMS: |-
GRAPH graph, VECTOR_INT membership, OPTIONAL EDGEWEIGHTS weights=NULL,
REAL resolution=1.0, BOOLEAN directed=True, OUT REAL modularity
igraph_modularity_matrix:
PARAMS: |-
GRAPH graph,
OPTIONAL EDGEWEIGHTS weights,
REAL resolution=1.0,
OUT MATRIX modmat,
BOOLEAN directed=True
DEPS: weights ON graph
igraph_reindex_membership:
PARAMS: |-
INOUT VECTOR_INT membership, OUT INDEX_VECTOR new_to_old,
OUT INTEGER nb_clusters
igraph_community_leading_eigenvector:
PARAMS: |-
GRAPH graph, EDGEWEIGHTS weights=NULL,
OPTIONAL OUT MATRIX_INT merges, OPTIONAL OUT VECTOR_INT membership,
INTEGER steps=-1,
INOUT ARPACKOPT options=arpack_defaults,
OPTIONAL OUT REAL modularity, BOOLEAN start=False,
OPTIONAL OUT VECTOR eigenvalues,
OPTIONAL OUT VECTOR_LIST eigenvectors,
OPTIONAL OUT VECTOR history,
LEVCFUNC callback, EXTRA callback_extra
igraph_community_fluid_communities:
PARAMS: |-
GRAPH graph, INTEGER no_of_communities, OUT VECTOR_INT membership
igraph_community_label_propagation:
PARAMS: |-
GRAPH graph, OUT VECTOR_INT membership, NEIMODE mode=ALL,
OPTIONAL EDGEWEIGHTS weights, OPTIONAL INDEX_VECTOR initial,
OPTIONAL VECTOR_BOOL fixed
DEPS: weights ON graph
igraph_community_multilevel:
PARAMS: |-
GRAPH graph, OPTIONAL EDGEWEIGHTS weights, REAL resolution=1.0,
OUT VECTOR_INT membership, OPTIONAL OUT MATRIX_INT memberships,
OPTIONAL OUT VECTOR modularity
DEPS: weights ON graph
igraph_community_optimal_modularity:
PARAMS: |-
GRAPH graph, OUT REAL modularity, OPTIONAL OUT VECTOR_INT membership,
OPTIONAL EDGEWEIGHTS weights
DEPS: weights ON graph
igraph_community_leiden:
PARAMS: |-
GRAPH graph, OPTIONAL EDGEWEIGHTS weights,
OPTIONAL VERTEXWEIGHTS vertex_weights,
REAL resolution, REAL beta=0.01, BOOLEAN start, INTEGER n_iterations=2,
OPTIONAL INOUT VECTOR_INT membership,
OUT INTEGER nb_clusters, OUT REAL quality
DEPS: weights ON graph, vertex_weights ON graph
igraph_split_join_distance:
PARAMS: |-
VECTOR_INT comm1, VECTOR_INT comm2, OUT INTEGER distance12,
OUT INTEGER distance21
igraph_community_infomap:
PARAMS: |-
GRAPH graph, EDGEWEIGHTS e_weights=NULL,
VERTEXWEIGHTS v_weights=NULL, INTEGER nb_trials=10,
OUT VECTOR_INT membership, OUT REAL codelength
DEPS: e_weights ON graph, v_weights ON graph
#######################################
# Graphlets
#######################################
igraph_graphlets:
PARAMS: |-
GRAPH graph, EDGEWEIGHTS weights=NULL,
OUT VERTEXSET_LIST cliques, OUT VECTOR Mu, INTEGER niter=1000
DEPS: weights ON graph, cliques ON graph
igraph_graphlets_candidate_basis:
PARAMS: |-
GRAPH graph, EDGEWEIGHTS weights=NULL,
OUT VERTEXSET_LIST cliques, OUT VECTOR thresholds
DEPS: weights ON graph, cliques ON graph
igraph_graphlets_project:
PARAMS: |-
GRAPH graph, EDGEWEIGHTS weights=NULL,
VERTEXSET_LIST cliques, INOUT VECTOR Muc,
BOOLEAN startMu=False, INTEGER niter=1000
DEPS: weights ON graph
#######################################
# Hierarchical random graphs
#######################################
igraph_hrg_fit:
PARAMS: |-
GRAPH graph, INOUT HRG hrg=Default, BOOLEAN start=False,
INTEGER steps=0
igraph_hrg_sample:
PARAMS: HRG hrg, OUT GRAPH sample
igraph_hrg_sample_many:
PARAMS: HRG hrg, OUT GRAPH_LIST samples, INTEGER num_samples
igraph_hrg_game:
PARAMS: OUT GRAPH graph, HRG hrg
igraph_hrg_dendrogram:
PARAMS: OUT GRAPH graph, HRG hrg
igraph_hrg_consensus:
PARAMS: |-
GRAPH graph, OUT VECTOR_INT parents, OUT VECTOR weights,
INOUT HRG hrg=Default, BOOLEAN start=False,
INTEGER num_samples=10000
igraph_hrg_predict:
PARAMS: |-
GRAPH graph, OUT VERTEX_INDICES edges, OUT VECTOR prob,
INOUT HRG hrg=Default, BOOLEAN start=False,
INTEGER num_samples=10000, INTEGER num_bins=25
DEPS: edges ON graph
igraph_hrg_create:
PARAMS: OUT HRG hrg, GRAPH graph, VECTOR prob
DEPS: prob ON graph
igraph_hrg_resize:
PARAMS: INOUT HRG hrg, INTEGER newsize
igraph_hrg_size:
PARAMS: HRG hrg
RETURN: INTEGER
#######################################
# Conversion
#######################################
igraph_get_adjacency:
PARAMS: |-
GRAPH graph, OUT MATRIX res, GETADJACENCY type=BOTH,
EDGEWEIGHTS weights=NULL, LOOPS loops=ONCE
DEPS:
weights ON graph
igraph_get_adjacency_sparse:
PARAMS: |-
GRAPH graph, OUT SPARSEMAT sparsemat, GETADJACENCY type=BOTH,
EDGEWEIGHTS weights=NULL, LOOPS loops=ONCE
DEPS:
weights ON graph
igraph_get_edgelist:
PARAMS: GRAPH graph, OUT VECTOR_INT res, BOOLEAN bycol=False
igraph_get_stochastic:
PARAMS: |-
GRAPH graph, OUT MATRIX res, BOOLEAN column_wise=False,
EDGEWEIGHTS weights=NULL
DEPS:
weights ON graph
igraph_get_stochastic_sparse:
PARAMS: |-
GRAPH graph, OUT SPARSEMAT sparsemat, BOOLEAN column_wise=False,
EDGEWEIGHTS weights=NULL
DEPS:
weights ON graph
igraph_to_directed:
PARAMS: INOUT GRAPH graph, TODIRECTED mode=MUTUAL
igraph_to_undirected:
PARAMS: |-
INOUT GRAPH graph, TOUNDIRECTED mode=COLLAPSE,
EDGE_ATTRIBUTE_COMBINATION edge_attr_comb=Default
#######################################
# Read and write foreign formats
#######################################
igraph_read_graph_edgelist:
PARAMS: OUT GRAPH graph, INFILE instream, INTEGER n=0, BOOLEAN directed=True
igraph_read_graph_ncol:
PARAMS: |-
OUT GRAPH graph, INFILE instream, OPTIONAL VECTOR_STR predefnames,
BOOLEAN names=True, ADD_WEIGHTS weights=True, BOOLEAN directed=True
igraph_read_graph_lgl:
PARAMS: |-
OUT GRAPH graph, INFILE instream, BOOLEAN names=True,
ADD_WEIGHTS weights=True, BOOLEAN directed=True
igraph_read_graph_pajek:
PARAMS: OUT GRAPH graph, INFILE instream
igraph_read_graph_graphml:
PARAMS: OUT GRAPH graph, INFILE instream, INTEGER index=0
igraph_read_graph_dimacs_flow:
PARAMS: |-
OUT GRAPH graph, INFILE instream,
OPTIONAL OUT VECTOR_STR problem, OPTIONAL OUT VECTOR_INT label,
OPTIONAL OUT INTEGER source, OPTIONAL OUT INTEGER target,
OPTIONAL OUT VECTOR capacity, BOOLEAN directed=True
igraph_read_graph_graphdb:
PARAMS: OUT GRAPH graph, INFILE instream, BOOLEAN directed=False
igraph_read_graph_gml:
PARAMS: OUT GRAPH graph, INFILE instream
igraph_read_graph_dl:
PARAMS: OUT GRAPH graph, INFILE instream, BOOLEAN directed=True
igraph_write_graph_edgelist:
PARAMS: GRAPH graph, OUTFILE outstream
igraph_write_graph_ncol:
PARAMS: GRAPH graph, OUTFILE outstream, CSTRING names="name", CSTRING weights="weight"
igraph_write_graph_lgl:
PARAMS: |-
GRAPH graph, OUTFILE outstream, CSTRING names="name", CSTRING weights="weight",
BOOLEAN isolates=True
igraph_write_graph_leda:
PARAMS: GRAPH graph, OUTFILE outstream, CSTRING names="name", CSTRING weights="weight"
igraph_write_graph_graphml:
PARAMS: GRAPH graph, OUTFILE outstream, BOOLEAN prefixattr=True
igraph_write_graph_pajek:
PARAMS: GRAPH graph, OUTFILE outstream
igraph_write_graph_dimacs_flow:
PARAMS: |-
GRAPH graph, OUTFILE outstream, VERTEX source=0, VERTEX target=0,
VECTOR capacity
igraph_write_graph_gml:
PARAMS: GRAPH graph, OUTFILE outstream, WRITE_GML_SW options=DEFAULT, VECTOR id, CSTRING creator=NULL
igraph_write_graph_dot:
PARAMS: GRAPH graph, OUTFILE outstream
#######################################
# Motifs
#######################################
igraph_motifs_randesu:
PARAMS: GRAPH graph, OUT VECTOR hist, INTEGER size=3, VECTOR cut_prob
igraph_motifs_randesu_estimate:
PARAMS: |-
GRAPH graph, OUT INTEGER est, INTEGER size=3, VECTOR cut_prob,
INTEGER sample_size, OPTIONAL VECTOR_INT sample
igraph_motifs_randesu_no:
PARAMS: GRAPH graph, OUT INTEGER no, INTEGER size=3, VECTOR cut_prob
igraph_dyad_census:
PARAMS: GRAPH graph, OUT REAL mut, OUT REAL asym, OUT REAL null
RETURN: ERROR
igraph_triad_census:
PARAMS: GRAPH graph, OUT VECTOR res
RETURN: ERROR
igraph_adjacent_triangles:
PARAMS: GRAPH graph, OUT VECTOR res, VERTEX_SELECTOR vids=ALL
DEPS: vids ON graph
igraph_local_scan_0:
PARAMS: |-
GRAPH graph, OUT VECTOR res, EDGEWEIGHTS weights=NULL,
NEIMODE mode=OUT
DEPS: weights ON graph
igraph_local_scan_0_them:
PARAMS: |-
GRAPH us, GRAPH them, OUT VECTOR res,
EDGEWEIGHTS weights_them=NULL, NEIMODE mode=OUT
DEPS: weights_them ON them
igraph_local_scan_1_ecount:
PARAMS: |-
GRAPH graph, OUT VECTOR res, EDGEWEIGHTS weights=NULL,
NEIMODE mode=OUT
DEPS: weights ON graph
igraph_local_scan_1_ecount_them:
PARAMS: |-
GRAPH us, GRAPH them, OUT VECTOR res,
EDGEWEIGHTS weights_them=NULL, NEIMODE mode=OUT
DEPS: weights_them ON them
igraph_local_scan_k_ecount:
PARAMS: |-
GRAPH graph, INTEGER k, OUT VECTOR res, EDGEWEIGHTS weights=NULL,
NEIMODE mode=OUT
DEPS: weights ON graph
igraph_local_scan_k_ecount_them:
PARAMS: |-
GRAPH us, GRAPH them, INTEGER k, OUT VECTOR res,
EDGEWEIGHTS weights_them=NULL, NEIMODE mode=OUT
DEPS: weights_them ON them
igraph_local_scan_neighborhood_ecount:
PARAMS: |-
GRAPH graph, OUT VECTOR res, EDGEWEIGHTS weights=NULL,
VERTEXSET_LIST neighborhoods
DEPS: weights ON graph
igraph_local_scan_subset_ecount:
PARAMS: |-
GRAPH graph, OUT VECTOR res, EDGEWEIGHTS weights=NULL,
VERTEXSET_LIST subsets
DEPS: weights ON graph
igraph_list_triangles:
PARAMS: GRAPH graph, OUT VERTEX_INDICES res
DEPS: res ON graph
#######################################
# Graph operators
#######################################
igraph_disjoint_union:
PARAMS: OUT GRAPH res, GRAPH left, GRAPH right
igraph_disjoint_union_many:
PARAMS: OUT GRAPH res, GRAPH_PTR_LIST graphs
igraph_union:
PARAMS: |-
OUT GRAPH res, GRAPH left, GRAPH right,
OUT INDEX_VECTOR edge_map_left, OUT INDEX_VECTOR edge_map_right
DEPS: edge_map_left ON left, edge_map_right ON right
igraph_union_many:
PARAMS: OUT GRAPH res, GRAPH_PTR_LIST graphs, OUT VECTOR_INT_LIST edgemaps
igraph_intersection:
PARAMS: |-
OUT GRAPH res, GRAPH left, GRAPH right,
OUT INDEX_VECTOR edge_map_left, OUT INDEX_VECTOR edge_map_right
DEPS: edge_map_left ON left, edge_map_right ON right
igraph_intersection_many:
PARAMS: OUT GRAPH res, GRAPH_PTR_LIST graphs, OUT VECTOR_INT_LIST edgemaps
igraph_difference:
PARAMS: OUT GRAPH res, GRAPH orig, GRAPH sub
igraph_complementer:
PARAMS: OUT GRAPH res, GRAPH graph, BOOLEAN loops=False
igraph_compose:
PARAMS: |-
OUT GRAPH res, GRAPH g1, GRAPH g2,
OUT INDEX_VECTOR edge_map1, OUT INDEX_VECTOR edge_map2
DEPS: edge_map1 ON g1, edge_map2 ON g2
igraph_induced_subgraph_map:
PARAMS: |-
GRAPH graph, OUT GRAPH res, VERTEX_SELECTOR vids, SUBGRAPH_IMPL impl,
OPTIONAL OUT INDEX_VECTOR map, OPTIONAL OUT INDEX_VECTOR invmap
DEPS: vids ON graph
#######################################
# Maximum flows, minimum cuts
#######################################
igraph_gomory_hu_tree:
PARAMS: GRAPH graph, OUT GRAPH tree, OPTIONAL OUT VECTOR flows, OPTIONAL EDGE_CAPACITY capacity
DEPS: capacity ON graph
igraph_maxflow:
PARAMS: |-
GRAPH graph, OUT REAL value, OPTIONAL OUT VECTOR flow,
OUT EDGE_INDICES cut, OPTIONAL OUT VERTEX_INDICES partition1,
OPTIONAL OUT VERTEX_INDICES partition2, VERTEX source, VERTEX target,
OPTIONAL EDGE_CAPACITY capacity, OPTIONAL OUT MAXFLOW_STATS stats
DEPS: |-
capacity ON graph, source ON graph, target ON graph,
partition1 ON graph, partition2 ON graph, flow ON graph,
cut ON graph
igraph_maxflow_value:
PARAMS: |-
GRAPH graph, OUT REAL value, VERTEX source, VERTEX target,
OPTIONAL EDGE_CAPACITY capacity, OPTIONAL OUT MAXFLOW_STATS stats
DEPS: source ON graph, target ON graph, capacity ON graph
igraph_mincut_value:
PARAMS: GRAPH graph, OUT REAL res, OPTIONAL EDGE_CAPACITY capacity
DEPS:
capacity ON graph
igraph_st_mincut:
PARAMS: |-
GRAPH graph, OUT REAL value, OUT EDGE_INDICES cut,
OUT VERTEX_INDICES partition1, OUT VERTEX_INDICES partition2,
VERTEX source, VERTEX target,
OPTIONAL EDGE_CAPACITY capacity
DEPS: |-
source ON graph, target ON graph, capacity ON graph,
partition1 ON graph, partition2 ON graph, cut ON graph
igraph_st_mincut_value:
PARAMS: |-
GRAPH graph, OUT REAL res, VERTEX source, VERTEX target,
OPTIONAL EDGE_CAPACITY capacity
DEPS: source ON graph, target ON graph, capacity ON graph
igraph_mincut:
PARAMS: |-
GRAPH graph, OUT REAL value, OUT VERTEX_INDICES partition1,
OUT VERTEX_INDICES partition2, OUT EDGE_INDICES cut,
OPTIONAL EDGE_CAPACITY capacity
DEPS: capacity ON graph, partition1 ON graph, partition2 ON graph, cut ON graph
igraph_residual_graph:
PARAMS: |-
GRAPH graph, EDGE_CAPACITY capacity, OUT GRAPH residual,
OUT EDGE_CAPACITY residual_capacity, VECTOR flow
DEPS: capacity ON graph, flow ON graph, residual_capacity ON residual
igraph_reverse_residual_graph:
PARAMS: |-
GRAPH graph, EDGE_CAPACITY capacity, OUT GRAPH residual,
VECTOR flow
DEPS: capacity ON graph, flow ON graph
igraph_st_mincut:
PARAMS: |-
GRAPH graph, OUT REAL value, OUT EDGE_INDICES cut,
OPTIONAL OUT VERTEX_INDICES partition1,
OPTIONAL OUT VERTEX_INDICES partition2,
VERTEX source, VERTEX target, OPTIONAL EDGE_CAPACITY capacity
DEPS: |-
capacity ON graph, source ON graph, target ON graph,
partition1 ON graph, partition2 ON graph, cut ON graph
igraph_st_vertex_connectivity:
PARAMS: |-
GRAPH graph, OUT INTEGER res, VERTEX source, VERTEX target,
VCONNNEI neighbors=NUMBER_OF_NODES
DEPS: source ON graph, target ON graph
igraph_vertex_connectivity:
PARAMS: GRAPH graph, OUT INTEGER res, BOOLEAN checks=True
igraph_st_edge_connectivity:
PARAMS: GRAPH graph, OUT INTEGER res, VERTEX source, VERTEX target
DEPS: source ON graph, target ON graph
igraph_edge_connectivity:
PARAMS: GRAPH graph, OUT INTEGER res, BOOLEAN checks=True
igraph_edge_disjoint_paths:
PARAMS: GRAPH graph, OUT INTEGER res, VERTEX source, VERTEX target
DEPS: source ON graph, target ON graph
igraph_vertex_disjoint_paths:
PARAMS: GRAPH graph, OUT INTEGER res, VERTEX source, VERTEX target
DEPS: source ON graph, target ON graph
igraph_adhesion:
PARAMS: GRAPH graph, OUT INTEGER res, BOOLEAN checks=True
igraph_cohesion:
PARAMS: GRAPH graph, OUT INTEGER res, BOOLEAN checks=True
#######################################
# Listing s-t cuts, separators
#######################################
igraph_dominator_tree:
PARAMS: |-
GRAPH graph, VERTEX root, OUT INDEX_VECTOR dom,
OPTIONAL OUT GRAPH domtree, OUT VERTEX_INDICES leftout,
NEIMODE mode=OUT
DEPS: root ON graph, leftout ON graph
igraph_all_st_cuts:
PARAMS: |-
GRAPH graph, OPTIONAL OUT EDGESET_LIST cuts,
OPTIONAL OUT VERTEXSET_LIST partition1s,
VERTEX source, VERTEX target
DEPS: |-
source ON graph, target ON graph, cuts ON graph,
partition1s ON graph
igraph_all_st_mincuts:
PARAMS: |-
GRAPH graph, OUT REAL value,
OPTIONAL OUT EDGESET_LIST cuts,
OPTIONAL OUT VERTEXSET_LIST partition1s,
VERTEX source, VERTEX target, OPTIONAL EDGE_CAPACITY capacity
DEPS: |-
capacity ON graph, source ON graph, target ON graph,
cuts ON graph, partition1s ON graph
igraph_even_tarjan_reduction:
PARAMS: GRAPH graph, OUT GRAPH graphbar, OPTIONAL OUT EDGE_CAPACITY capacity
DEPS: |-
capacity ON graphbar
igraph_is_separator:
PARAMS: GRAPH graph, VERTEX_SELECTOR candidate, OUT BOOLEAN res
DEPS: candidate ON graph
igraph_is_minimal_separator:
PARAMS: GRAPH graph, VERTEX_SELECTOR candidate, OUT BOOLEAN res
DEPS: candidate ON graph
igraph_all_minimal_st_separators:
PARAMS: GRAPH graph, OUT VERTEXSET_LIST separators
DEPS: separators ON graph
igraph_minimum_size_separators:
PARAMS: GRAPH graph, OUT VERTEXSET_LIST separators
DEPS: separators ON graph
igraph_cohesive_blocks:
PARAMS: |-
GRAPH graph, OUT VERTEXSET_LIST blocks,
OUT VECTOR_INT cohesion, OUT INDEX_VECTOR parent,
OUT GRAPH blockTree
DEPS: blocks ON graph
#######################################
# K-Cores
#######################################
igraph_coreness:
PARAMS: GRAPH graph, OUT VECTOR_INT cores, NEIMODE mode=ALL
#######################################
# Graph isomorphism
#######################################
igraph_isoclass:
PARAMS: GRAPH graph, OUT INTEGER isoclass
igraph_isomorphic:
PARAMS: GRAPH graph1, GRAPH graph2, OUT BOOLEAN iso
igraph_isoclass_subgraph:
PARAMS: GRAPH graph, VECTOR_INT vids, OUT INTEGER isoclass
DEPS: vids ON graph
igraph_isoclass_create:
PARAMS: OUT GRAPH graph, INTEGER size, INTEGER number, BOOLEAN directed=True
igraph_isomorphic_vf2:
PARAMS: |-
GRAPH graph1, GRAPH graph2,
OPTIONAL VERTEX_COLOR vertex_color1,
OPTIONAL VERTEX_COLOR vertex_color2,
OPTIONAL EDGE_COLOR edge_color1,
OPTIONAL EDGE_COLOR edge_color2,
OUT BOOLEAN iso,
OPTIONAL OUT INDEX_VECTOR map12, OPTIONAL OUT INDEX_VECTOR map21,
OPTIONAL ISOCOMPAT_FUNC node_compat_fn,
OPTIONAL ISOCOMPAT_FUNC edge_compat_fn,
EXTRA extra
DEPS: |-
vertex_color1 ON graph1, vertex_color2 ON graph2,
edge_color1 ON graph1, edge_color2 ON graph2
igraph_count_isomorphisms_vf2:
PARAMS: |-
GRAPH graph1, GRAPH graph2,
VERTEX_COLOR vertex_color1, VERTEX_COLOR vertex_color2,
EDGE_COLOR edge_color1, EDGE_COLOR edge_color2,
OUT INTEGER count, ISOCOMPAT_FUNC node_compat_fn,
ISOCOMPAT_FUNC edge_compat_fn, EXTRA extra
DEPS: |-
vertex_color1 ON graph1, vertex_color2 ON graph2,
edge_color1 ON graph1, edge_color2 ON graph2
igraph_get_isomorphisms_vf2:
PARAMS: |-
GRAPH graph1, GRAPH graph2,
VERTEX_COLOR vertex_color1, VERTEX_COLOR vertex_color2,
EDGE_COLOR edge_color1, EDGE_COLOR edge_color2,
OUT VECTOR_INT_LIST maps, ISOCOMPAT_FUNC node_compat_fn,
ISOCOMPAT_FUNC edge_compat_fn, EXTRA extra
DEPS: |-
vertex_color1 ON graph1, vertex_color2 ON graph2,
edge_color1 ON graph1, edge_color2 ON graph2
igraph_subisomorphic:
PARAMS: GRAPH graph1, GRAPH graph2, OUT BOOLEAN iso
igraph_subisomorphic_vf2:
PARAMS: |-
GRAPH graph1, GRAPH graph2,
OPTIONAL VERTEX_COLOR vertex_color1, OPTIONAL VERTEX_COLOR vertex_color2,
OPTIONAL EDGE_COLOR edge_color1, OPTIONAL EDGE_COLOR edge_color2,
OUT BOOLEAN iso,
OPTIONAL OUT INDEX_VECTOR map12, OPTIONAL OUT INDEX_VECTOR map21,
OPTIONAL ISOCOMPAT_FUNC node_compat_fn, OPTIONAL ISOCOMPAT_FUNC edge_compat_fn,
EXTRA extra
DEPS: |-
vertex_color1 ON graph1, vertex_color2 ON graph2,
edge_color1 ON graph1, edge_color2 ON graph2
igraph_subisomorphic_function_vf2:
PARAMS: |-
GRAPH graph1, GRAPH graph2,
OPTIONAL VERTEX_COLOR vertex_color1, OPTIONAL VERTEX_COLOR vertex_color2,
OPTIONAL EDGE_COLOR edge_color1, OPTIONAL EDGE_COLOR edge_color2,
OPTIONAL OUT INDEX_VECTOR map12, OPTIONAL OUT INDEX_VECTOR map21,
ISOMORPHISM_FUNC ishohandler_fn, OPTIONAL ISOCOMPAT_FUNC node_compat_fn,
OPTIONAL ISOCOMPAT_FUNC edge_compat_fn, EXTRA arg
DEPS: |-
vertex_color1 ON graph1, vertex_color2 ON graph2,
edge_color1 ON graph1, edge_color2 ON graph2
igraph_count_subisomorphisms_vf2:
PARAMS: |-
GRAPH graph1, GRAPH graph2,
VERTEX_COLOR vertex_color1, VERTEX_COLOR vertex_color2,
EDGE_COLOR edge_color1, EDGE_COLOR edge_color2,
OUT INTEGER count, ISOCOMPAT_FUNC node_compat_fn,
ISOCOMPAT_FUNC edge_compat_fn, EXTRA extra
DEPS: |-
vertex_color1 ON graph1, vertex_color2 ON graph2,
edge_color1 ON graph1, edge_color2 ON graph2
igraph_get_subisomorphisms_vf2:
PARAMS: |-
GRAPH graph1, GRAPH graph2,
VERTEX_COLOR vertex_color1, VERTEX_COLOR vertex_color2,
EDGE_COLOR edge_color1, EDGE_COLOR edge_color2,
OUT VECTOR_INT_LIST maps, ISOCOMPAT_FUNC node_compat_fn,
ISOCOMPAT_FUNC edge_compat_fn, EXTRA extra
DEPS: |-
vertex_color1 ON graph1, vertex_color2 ON graph2,
edge_color1 ON graph1, edge_color2 ON graph2
igraph_canonical_permutation:
PARAMS: |-
GRAPH graph, OPTIONAL VERTEX_COLOR colors,
OUT INDEX_VECTOR labeling, BLISSSH sh="fm", OUT BLISSINFO info
DEPS: colors ON graph
igraph_permute_vertices:
PARAMS: GRAPH graph, OUT GRAPH res, INDEX_VECTOR permutation
igraph_isomorphic_bliss:
PARAMS: |-
GRAPH graph1, GRAPH graph2,
OPTIONAL VERTEX_COLOR colors1, OPTIONAL VERTEX_COLOR colors2,
OUT BOOLEAN iso, OPTIONAL OUT INDEX_VECTOR map12,
OPTIONAL OUT INDEX_VECTOR map21, BLISSSH sh="fm",
OPTIONAL OUT BLISSINFO info1, OPTIONAL OUT BLISSINFO info2
DEPS: colors1 ON graph1, colors2 ON graph2
igraph_automorphisms:
PARAMS: |-
GRAPH graph, OPTIONAL VERTEX_COLOR colors, BLISSSH sh="fm", OUT BLISSINFO info
DEPS: colors ON graph
igraph_automorphism_group:
PARAMS: |-
GRAPH graph, OPTIONAL VERTEX_COLOR colors, PRIMARY OUT VERTEXSET_LIST generators,
BLISSSH sh="fm", OUT BLISSINFO info
DEPS: colors ON graph, generators ON graph
igraph_subisomorphic_lad:
PARAMS: |-
GRAPH pattern, GRAPH target, OPTIONAL VERTEXSET_LIST domains,
OPTIONAL OUT BOOLEAN iso, OUT INDEX_VECTOR map,
OPTIONAL OUT VECTOR_INT_LIST maps, BOOLEAN induced, INTEGER time_limit
igraph_simplify_and_colorize:
# Despite their names, vertex_color and edge_color are not really colors
# but _multiplicities_, so we simply use VECTOR_INT there
PARAMS: |-
GRAPH graph, OUT GRAPH res, OUT VECTOR_INT vertex_color, OUT VECTOR_INT edge_color
DEPS: vertex_color ON graph, edge_color ON graph
igraph_graph_count:
PARAMS: INTEGER n, BOOLEAN directed=False, OUT INTEGER count
#######################################
# Matching
#######################################
igraph_is_matching:
PARAMS: |-
GRAPH graph, OPTIONAL BIPARTITE_TYPES types,
INDEX_VECTOR matching, OUT BOOLEAN res
DEPS: types ON graph, matching ON graph
igraph_is_maximal_matching:
PARAMS: |-
GRAPH graph, OPTIONAL BIPARTITE_TYPES types,
INDEX_VECTOR matching, OUT BOOLEAN res
DEPS: types ON graph
igraph_maximum_bipartite_matching:
PARAMS: |-
GRAPH graph, OPTIONAL BIPARTITE_TYPES types,
OPTIONAL OUT INTEGER matching_size,
OPTIONAL OUT REAL matching_weight,
OUT INDEX_VECTOR matching,
OPTIONAL EDGEWEIGHTS weights, REAL eps=.Machine$double.eps
DEPS: types ON graph, weights ON graph
#######################################
# Embedding
#######################################
igraph_adjacency_spectral_embedding:
PARAMS: |-
GRAPH graph, INTEGER no, EDGEWEIGHTS weights=NULL,
EIGENWHICHPOS which=ASE, BOOLEAN scaled=True, OUT MATRIX X,
OPTIONAL OUT MATRIX Y, OPTIONAL OUT VECTOR D,
VECTOR cvec=AsmDefaultCvec,
INOUT ARPACKOPT options=igraph.arpack.default
DEPS: weights ON graph, cvec ON graph
igraph_laplacian_spectral_embedding:
PARAMS: |-
GRAPH graph, INTEGER no, EDGEWEIGHTS weights=NULL,
EIGENWHICHPOS which=ASE,
LSETYPE type=Default, BOOLEAN scaled=True, OUT MATRIX X,
OPTIONAL OUT MATRIX Y, OPTIONAL OUT VECTOR D,
INOUT ARPACKOPT options=igraph.arpack.default
DEPS: weights ON graph, type ON graph
#######################################
# Eigensolvers
#######################################
igraph_eigen_adjacency:
PARAMS: |-
GRAPH graph, EIGENALGO algorithm=ARPACK,
EIGENWHICH which=Default,
INOUT ARPACKOPT options=arpack_defaults,
INOUT ARPACKSTORAGE storage, OUT VECTOR values, OUT MATRIX vectors,
OUT VECTOR_COMPLEX cmplxvalues, OUT MATRIX_COMPLEX cmplxvectors
#######################################
# Fitting power laws
#######################################
igraph_power_law_fit:
PARAMS: |-
VECTOR data, OUT PLFIT res, REAL xmin=-1,
BOOLEAN force_continuous=False
#######################################
# Dynamics, on networks
#######################################
igraph_sir:
PARAMS: |-
GRAPH graph, REAL beta, REAL gamma, INTEGER no_sim=100,
OUT SIR_LIST res
#######################################
# Other, not graph related
#######################################
igraph_running_mean:
PARAMS: VECTOR data, OUT VECTOR res, INTEGER binwidth
igraph_random_sample:
PARAMS: OUT VECTOR_INT res, INTEGER l, INTEGER h, INTEGER length
igraph_convex_hull:
PARAMS: MATRIX data, OUT VECTOR_INT resverts, OUT MATRIX rescoords
igraph_dim_select:
PARAMS: VECTOR sv, OUT INTEGER dim
igraph_almost_equals:
PARAMS: DOUBLE a, DOUBLE b, DOUBLE eps
RETURN: BOOLEAN
igraph_cmp_epsilon:
PARAMS: DOUBLE a, DOUBLE b, DOUBLE eps
RETURN: INT
igraph_eigen_matrix:
PARAMS: |-
MATRIX A, SPARSEMAT sA, ARPACKFUNC fun, INT n, EXTRA extra,
EIGENALGO algorithm, EIGENWHICH which, INOUT ARPACKOPT options=igraph.arpack.default,
INOUT ARPACKSTORAGE storage, OUT VECTOR_COMPLEX values, OUT MATRIX_COMPLEX vectors
igraph_eigen_matrix_symmetric:
PARAMS: |-
MATRIX A, SPARSEMAT sA, ARPACKFUNC fun, INT n, EXTRA extra,
EIGENALGO algorithm, EIGENWHICH which, INOUT ARPACKOPT options=igraph.arpack.default,
INOUT ARPACKSTORAGE storage, OUT VECTOR values, OUT MATRIX vectors
igraph_solve_lsap:
PARAMS: MATRIX c, INTEGER n, OUT VECTOR_INT p
#######################################
# Eulerian functions
#######################################
igraph_is_eulerian:
PARAMS: GRAPH graph, OUT BOOLEAN has_path, OUT BOOLEAN has_cycle
igraph_eulerian_path:
PARAMS: GRAPH graph, OPTIONAL OUT EDGE_INDICES edge_res, OPTIONAL OUT VERTEX_INDICES vertex_res
DEPS: edge_res ON graph, vertex_res ON graph
igraph_eulerian_cycle:
PARAMS: GRAPH graph, OPTIONAL OUT EDGE_INDICES edge_res, OPTIONAL OUT VERTEX_INDICES vertex_res
DEPS: edge_res ON graph, vertex_res ON graph
#######################################
# Cycle bases
#######################################
igraph_fundamental_cycles:
PARAMS: GRAPH graph, OUT EDGESET_LIST basis, OPTIONAL VERTEX start, INTEGER bfs_cutoff, EDGEWEIGHTS weights=NULL
DEPS: weights ON graph, basis ON graph, start ON graph
igraph_minimum_cycle_basis:
PARAMS: GRAPH graph, OUT EDGESET_LIST basis, INTEGER bfs_cutoff, BOOLEAN complete, BOOLEAN use_cycle_order, EDGEWEIGHTS weights=NULL
DEPS: weights ON graph, basis ON graph
#######################################
# Trees
#######################################
igraph_is_tree:
PARAMS: GRAPH graph, PRIMARY OUT BOOLEAN res, OPTIONAL OUT VERTEX root, NEIMODE mode=OUT
DEPS: root ON graph
igraph_is_forest:
PARAMS: GRAPH graph, PRIMARY OUT BOOLEAN res, OPTIONAL OUT VERTEX_INDICES roots, NEIMODE mode=OUT
DEPS: roots ON graph
igraph_from_prufer:
PARAMS: OUT GRAPH graph, INDEX_VECTOR prufer
igraph_to_prufer:
PARAMS: GRAPH graph, OUT INDEX_VECTOR prufer
igraph_minimum_spanning_tree:
PARAMS: GRAPH graph, OUT EDGE_INDICES res, EDGEWEIGHTS weights=NULL
DEPS: res ON graph, weights ON graph
igraph_minimum_spanning_tree_unweighted:
PARAMS: GRAPH graph, OUT GRAPH mst
igraph_minimum_spanning_tree_prim:
PARAMS: GRAPH graph, OUT GRAPH mst, EDGEWEIGHTS weights
igraph_random_spanning_tree:
PARAMS: GRAPH graph, OUT EDGE_INDICES res, OPTIONAL VERTEX vid
DEPS: res ON graph, vid ON graph
igraph_tree_game:
PARAMS: OUT GRAPH graph, INTEGER n, BOOLEAN directed=False, RANDOM_TREE_METHOD method=LERW
#######################################
# Coloring
#######################################
igraph_vertex_coloring_greedy:
PARAMS: GRAPH graph, OUT VERTEX_COLOR colors, GREEDY_COLORING_HEURISTIC heuristic=NEIGHBORS
DEPS: colors ON graph
#######################################
# Microscopic update
#######################################
igraph_deterministic_optimal_imitation:
PARAMS: |-
GRAPH graph, VERTEX vid, OPTIMALITY optimality=MAXIMUM, VERTEX_QTY quantities,
INOUT VECTOR_INT strategies, NEIMODE mode=OUT
DEPS: vid ON graph, quantities ON graph, strategies ON graph
igraph_stochastic_imitation:
PARAMS: |-
GRAPH graph, VERTEX vid, IMITATE_ALGORITHM algo, VERTEX_QTY quantities,
INOUT VECTOR_INT strategies, NEIMODE mode=OUT
DEPS: vid ON graph, quantities ON graph, strategies ON graph
igraph_moran_process:
PARAMS: |-
GRAPH graph, EDGEWEIGHTS weights=NULL, INOUT VERTEX_QTY quantities,
INOUT VECTOR_INT strategies, NEIMODE mode=OUT
DEPS: quantities ON graph, strategies ON graph
igraph_roulette_wheel_imitation:
PARAMS: |-
GRAPH graph, VERTEX vid, BOOLEAN is_local, VERTEX_QTY quantities,
INOUT VECTOR_INT strategies, NEIMODE mode=OUT
DEPS: vid ON graph, quantities ON graph, strategies ON graph
igraph_stochastic_imitation:
PARAMS: |-
GRAPH graph, VERTEX vid, IMITATE_ALGORITHM algo, VERTEX_QTY quantities,
INOUT VECTOR_INT strategies, NEIMODE mode=OUT
DEPS: vid ON graph, quantities ON graph, strategies ON graph
#######################################
# Other, (yet) undocumented functions
#######################################
igraph_convergence_degree:
PARAMS: GRAPH graph, OUT VECTOR result, OUT VECTOR in, OUT VECTOR out
igraph_has_attribute_table:
RETURN: BOOLEAN
#######################################
# Progress, status handling
#######################################
igraph_progress:
PARAMS: CSTRING message, REAL percent, EXTRA data
igraph_status:
PARAMS: CSTRING message, EXTRA data
igraph_strerror:
PARAMS: ERROR igraph_errno
RETURN: CSTRING
#######################################
# Other functions, documented, graph related
#######################################
igraph_expand_path_to_pairs:
PARAMS: INOUT VERTEX_INDICES path
igraph_invalidate_cache:
PARAMS: GRAPH graph
RETURN: VOID
igraph_vertex_path_from_edge_path:
PARAMS: |-
GRAPH graph, VERTEX start, EDGE_INDICES edge_path,
OUT VERTEX_INDICES vertex_path, NEIMODE mode=OUT
#######################################
# Meta info
#######################################
igraph_version:
PARAMS: |-
OPTIONAL OUT CSTRING version_string, OPTIONAL OUT INT major,
OPTIONAL OUT INT minor, OPTIONAL OUT INT subminor
RETURN: VOID
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