igraph v0.4.5

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by Gabor Csardi

Routines for simple graphs, network analysis.

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.

Functions in igraph

Name Description
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
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Date Oct 3, 2007
License GPL version 2 or later (June, 1991)
URL http://cneurocvs.rmki.kfki.hu/igraph
Packaged Fri Dec 21 19:38:02 2007; csardi

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