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igraph (version 0.4.5)

Routines for simple graphs, network analysis.

Description

Routines for simple graphs and network analysis. igraph can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality indices and much more.

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Version

Install

install.packages('igraph')

Monthly Downloads

366,150

Version

0.4.5

License

GPL version 2 or later (June, 1991)

Maintainer

Gabor Csardi

Last Published

February 10th, 2023

Functions in igraph (0.4.5)

girth

Girth of a graph
graph.density

Graph density
page.rank

The Page Rank algorithm
components

In- or out- component of a vertex
degree

Degree and degree distribution of the vertices
independent.vertex.sets

Independent vertex sets
decompose.graph

Decompose a graph into components
betweenness

Vertex and edge betweenness centrality
running.mean

Running mean of a time series
layout

Generate coordinates for plotting graphs
power.law.fit

Fitting a power-law distribution function to discrete data
write.pajek.bgraph

Write graphs and their cohesive block hierarchy as Pajek files
diameter

Diameter of a graph
graph-operators

Graph operators
constraint

Burt's constraint
biconnected.components

Biconnected components
Drawing graphs

Drawing graphs
write.graph

Writing the graph to a file in some format
spinglass.community

Finding communities in graphs based on statistical meachanics
cliques

The functions find cliques, ie. complete subgraphs in a graph
transitivity

Transitivity of a graph
shortest.paths

Shortest (directed or undirected) paths between vertices
revolver

Measuring the driving force in evolving networks
graph-motifs

Graph motifs
edge.connectivity

Edge connectivity.
growing.random.game

Growing random graph generation
plot.igraph

Plotting of graphs
rewire.edges

Rewires the endpoints of the edges of a graph randomly
erdos.renyi.game

Generate random graphs according to the Erdos-Renyi model
graph.graphdb

Load a graph from the graph database for testing graph isomorphism.
communities

Common functions supporting community detection algorithms
evcent

Find Eigenvector Centrality Scores of Network Positions
aging.prefatt.game

Generate an evolving random graph with preferential attachment and aging
neighborhood

Neighborhood of graph vertices
conversion

Convert a graph to an adjacency matrix or an edge list
traits

Graph generation based on different vertex types
measure.dynamics

Measuring the driving force in evolving networks
topological.sort

Topological sorting of vertices in a graph
cohesive.blocks

Calculate Cohesive Blocks
articulation.points

Articulation points of a graph
graph.structure

Method for structural manipulation of graphs
igraph.undocumented

Undocumented and unsupportted igraph functions
igraph-parameters

Parameters for the igraph package
edge.betweenness.community

Community structure detection based on edge betweenness
as.directed

Convert between directed and undirected graphs
simplify

Remove loop and/or multiple edges from a graph
rewire

Graph rewiring
iterators

Vertex and edge sequences and iterators
tkplot

Interactive plotting of graphs
layout.merge

Merging graph layouts
modularity

Modularity of a community structure of a graph
minimum.spanning.tree

Minimum spanning tree
clusters

Connected components of a graph
reciprocity

Reciprocity of graphs
rglplot

3D plotting of graphs with OpenGL
preference.game

Trait-based random generation
read.graph

Reading foreign file formats
watts.strogatz.game

The Watts-Strogatz small-world model
degree.sequence.game

Generate random graphs with a given degree sequence
graph.constructors

Various methods for creating graphs
alpha.centrality

Find Bonacich alpha centrality scores of network positions
is.igraph

Is this object a graph?
fastgreedy.community

Community structure via greedy optimization of modularity
subgraph

Subgraph of a graph
grg.game

Geometric random graphs
structure.info

Gaining information about graph structure
graph.laplacian

Graph Laplacian
graph-isomorphism

Graph Isomorphism
plot.bgraph

Plot graphs and their cohesive block hierarchy
vertex.connectivity

Vertex connectivity.
bonpow

Find Bonacich Power Centrality Scores of Network Positions
graph.coreness

K-core decomposition of graphs
walktrap.community

Community strucure via short random walks
print.igraph

Print graphs to the terminal
igraph.sample

Sampling a random integer sequence
barabasi.game

Generate scale-free graphs according to the Barabasi-Albert model
attributes

Graph, vertex and edge attributes
cocitation

Cocitation coupling
closeness

Closeness centrality of vertices
graph.maxflow

Maximum flow in a network
leading.eigenvector.community

Community structure detecting based on the leading eigenvector of the community matrix