igraph v0.5.1


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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
layout.drl The DrL graph layout generator
minimum.spanning.tree Minimum spanning tree
plot.igraph Plotting of graphs
subgraph Subgraph of a graph
spinglass.community Finding communities in graphs based on statistical meachanics
communities Common functions supporting community detection algorithms
graph.density Graph density
is.multiple Find the multiple or loop edges in a graph
graph-isomorphism Graph Isomorphism
read.graph Reading foreign file formats
canonical.permutation Canonical permutation of a graph
as.directed Convert between directed and undirected graphs
Graphs from adjacency lists Create graphs from adjacency lists
biconnected.components Biconnected components
graph.kautz Kautz graphs
modularity Modularity of a community structure of a graph
bonpow Find Bonacich Power Centrality Scores of Network Positions
topological.sort Topological sorting of vertices in a graph
degree.sequence.game Generate random graphs with a given degree sequence
igraph from/to graphNEL conversion Convert igraph graphs to graphNEL objects or back
forest.fire.game Forest Fire Network Model
graph.formula Creating (small) graphs via a simple interface
traits Graph generation based on different vertex types
power.law.fit Fitting a power-law distribution function to discrete data
Drawing graphs Drawing graphs
plot.bgraph Plot graphs and their cohesive block hierarchy
running.mean Running mean of a time series
revolver Measuring the driving force in evolving networks
graph-motifs Graph motifs
line.graph Line graph of a graph
transitivity Transitivity of a graph
graph-operators Graph operators
closeness Closeness centrality of vertices
graph.coreness K-core decomposition of graphs
Vertex shapes Various vertex shapes when plotting igraph graphs
rewire Graph rewiring
erdos.renyi.game Generate random graphs according to the Erdos-Renyi model
kleinberg Kleinberg's centrality scores.
tkplot Interactive plotting of graphs
growing.random.game Growing random graph generation
graph.adjacency Create graphs from adjacency matrices
aging.prefatt.game Generate an evolving random graph with preferential attachment and aging
layout Generate coordinates for plotting graphs
page.rank The Page Rank algorithm
dyad.census Dyad census of a graph
evcent Find Eigenvector Centrality Scores of Network Positions
rglplot 3D plotting of graphs with OpenGL
clusters Connected components of a graph
girth Girth of a graph
graph.lcf Creating a graph from LCF notation
neighborhood Neighborhood of graph vertices
is.igraph Is this object a graph?
igraph-parameters Parameters for the igraph package
iterators Vertex and edge sequences and iterators
articulation.points Articulation points of a graph
components In- or out- component of a vertex
constraint Burt's constraint
similarity Similarity measures of two vertices
diameter Diameter of a graph
graph.constructors Various methods for creating graphs
graph.famous Creating named graphs
preference.game Trait-based random generation
watts.strogatz.game The Watts-Strogatz small-world model
igraph.sample Sampling a random integer sequence
permute.vertices Permute the vertices of a graph
betweenness Vertex and edge betweenness centrality
write.graph Writing the graph to a file in some format
vertex.connectivity Vertex connectivity.
print.igraph Print graphs to the terminal
conversion Convert a graph to an adjacency matrix or an edge list
measure.dynamics Measuring the driving force in evolving networks
walktrap.community Community strucure via short random walks
arpack ARPACK eigenvector calculation
rewire.edges Rewires the endpoints of the edges of a graph randomly
graph.maxflow Maximum flow in a network
igraph.undocumented Undocumented and unsupportted igraph functions
triad.census Triad census, subgraphs with three vertices
write.pajek.bgraph Write graphs and their cohesive block hierarchy as Pajek files
layout.merge Merging graph layouts
igraph-package The igraph package
cliques The functions find cliques, ie. complete subgraphs in a graph
graph.de.bruijn De Bruijn graphs.
leading.eigenvector.community Community structure detecting based on the leading eigenvector of the community matrix
shortest.paths Shortest (directed or undirected) paths between vertices
structure.info Gaining information about graph structure
graph.automorphisms Number of automorphisms
barabasi.game Generate scale-free graphs according to the Barabasi-Albert model
cocitation Cocitation coupling
edge.betweenness.community Community structure detection based on edge betweenness
is.mutual Find mutual edges in a directed graph
graph.graphdb Load a graph from the graph database for testing graph isomorphism.
graph.data.frame Creating igraph graphs from data frames
simplify Simple graphs
cohesive.blocks Calculate Cohesive Blocks
get.adjlist Adjacency lists
decompose.graph Decompose a graph into components
edge.connectivity Edge connectivity.
reciprocity Reciprocity of graphs
graph.laplacian Graph Laplacian
alpha.centrality Find Bonacich alpha centrality scores of network positions
grg.game Geometric random graphs
independent.vertex.sets Independent vertex sets
attributes Graph, vertex and edge attributes
fastgreedy.community Community structure via greedy optimization of modularity
degree Degree and degree distribution of the vertices
graph.structure Method for structural manipulation of graphs
bipartite.projection Project a bipartite graph
graph.strength Strength or weighted vertex degree
graph.full.bipartite Create a full bipartite graph
graph.bipartite Create a bipartite graph
graph.incidence Create graphs from an incidence matrix
unfold.tree Convert a general graph into a forest
label.propagation.community Finding communities based on propagating labels
tkigraph Experimental basic igraph GUI
is.bipartite Decide whether a graph is bipartite
graph.knn Average nearest neighbor degree
get.incidence Incidence matrix of a bipartite graph
layout.star Generate coordinates to place the vertices of a graph in a star-shape
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Last month downloads


Date Feb 14, 2008
License GPL (>= 2)
URL http://cneurocvs.rmki.kfki.hu/igraph
Packaged Sat Jul 12 12:44:04 2008; csardi

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