File: sample_last_cit.Rd

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% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/games.R
\name{sample_last_cit}
\alias{cit_cit_types}
\alias{cit_types}
\alias{cited.type.game}
\alias{citing.cited.type.game}
\alias{last_cit}
\alias{lastcit.game}
\alias{sample_cit_cit_types}
\alias{sample_cit_types}
\alias{sample_last_cit}
\title{Random citation graphs}
\usage{
sample_last_cit(n, edges = 1, agebins = n/7100, pref = (1:(agebins +
  1))^-3, directed = TRUE)

last_cit(...)

sample_cit_types(n, edges = 1, types = rep(0, n), pref = rep(1,
  length(types)), directed = TRUE, attr = TRUE)

cit_types(...)

sample_cit_cit_types(n, edges = 1, types = rep(0, n), pref = matrix(1,
  nrow = length(types), ncol = length(types)), directed = TRUE, attr = TRUE)

cit_cit_types(...)
}
\arguments{
\item{n}{Number of vertices.}

\item{edges}{Number of edges per step.}

\item{agebins}{Number of aging bins.}

\item{pref}{Vector (\code{sample_last_cit} and \code{sample_cit_types} or
matrix (\code{sample_cit_cit_types}) giving the (unnormalized) citation
probabilities for the different vertex types.}

\item{directed}{Logical scalar, whether to generate directed networks.}

\item{...}{Passed to the actual constructor.}

\item{types}{Vector of length \sQuote{\code{n}}, the types of the vertices.
Types are numbered from zero.}

\item{attr}{Logical scalar, whether to add the vertex types to the generated
graph as a vertex attribute called \sQuote{\code{type}}.}
}
\value{
A new graph.
}
\description{
\code{sample_last_cit} creates a graph, where vertices age, and
gain new connections based on how long ago their last citation
happened.
}
\details{
\code{sample_cit_cit_types} is a stochastic block model where the
graph is growing.

\code{sample_cit_types} is similarly a growing stochastic block model,
but the probability of an edge depends on the (potentiall) cited
vertex only.
}
\author{
Gabor Csardi \email{csardi.gabor@gmail.com}
}
\keyword{graphs}