1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63
|
% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/operators.R
\name{intersection.igraph}
\alias{\%s\%}
\alias{graph.intersection}
\alias{intersection.igraph}
\title{Intersection of graphs}
\usage{
\method{intersection}{igraph}(..., byname = "auto",
keep.all.vertices = TRUE)
}
\arguments{
\item{byname}{A logical scalar, or the character scalar \code{auto}. Whether
to perform the operation based on symbolic vertex names. If it is
\code{auto}, that means \code{TRUE} if all graphs are named and \code{FALSE}
otherwise. A warning is generated if \code{auto} and some (but not all)
graphs are named.}
\item{keep.all.vertices}{Logical scalar, whether to keep vertices that only
appear in a subset of the input graphs.}
\item{\dots}{Graph objects or lists of graph objects.}
}
\value{
A new graph object.
}
\description{
The intersection of two or more graphs are created. The graphs may have
identical or overlapping vertex sets.
}
\details{
\code{intersection} creates the intersection of two or more graphs:
only edges present in all graphs will be included. The corresponding
operator is \%s\%.
If the \code{byname} argument is \code{TRUE} (or \code{auto} and all graphs
are named), then the operation is performed on symbolic vertex names instead
of the internal numeric vertex ids.
\code{intersection} keeps the attributes of all graphs. All graph,
vertex and edge attributes are copied to the result. If an attribute is
present in multiple graphs and would result a name clash, then this
attribute is renamed by adding suffixes: _1, _2, etc.
The \code{name} vertex attribute is treated specially if the operation is
performed based on symbolic vertex names. In this case \code{name} must be
present in all graphs, and it is not renamed in the result graph.
An error is generated if some input graphs are directed and others are
undirected.
}
\examples{
## Common part of two social networks
net1 <- graph_from_literal(D-A:B:F:G, A-C-F-A, B-E-G-B, A-B, F-G,
H-F:G, H-I-J)
net2 <- graph_from_literal(D-A:F:Y, B-A-X-F-H-Z, F-Y)
str(net1 \%s\% net2)
}
\author{
Gabor Csardi \email{csardi.gabor@gmail.com}
}
\keyword{graphs}
|