igraph v0.4.4
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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 | |
| components | In- or out- component of a vertex | |
| alpha.centrality | Find Bonacich alpha centrality scores of network positions | |
| graph.laplacian | Graph Laplacian | |
| growing.random.game | Growing random graph generation | |
| graph.density | Graph density | |
| is.igraph | Is this object a graph? | |
| layout | Generate coordinates for plotting graphs | |
| betweenness | Vertex and edge betweenness centrality | |
| transitivity | Transitivity of a graph | |
| modularity | Modularity of a community structure of a graph | |
| evcent | Find Eigenvector Centrality Scores of Network Positions | |
| closeness | Closeness centrality of vertices | |
| fastgreedy.community | Community structure via greedy optimization of modularity | |
| barabasi.game | Generate scale-free graphs according to the Barabasi-Albert model | |
| preference.game | Trait-based random generation | |
| rewire.edges | Rewires the endpoints of the edges of a graph randomly | |
| degree | Degree and degree distribution of the vertices | |
| spinglass.community | Finding communities in graphs based on statistical meachanics | |
| graph.constructors | Various methods for creating graphs | |
| read.graph | Reading foreign file formats | |
| girth | Girth of a graph | |
| decompose.graph | Decompose a graph into components | |
| Drawing graphs | Drawing graphs | |
| erdos.renyi.game | Generate random graphs according to the Erdos-Renyi model | |
| rewire | Graph rewiring | |
| watts.strogatz.game | The Watts-Strogatz small-world model | |
| rglplot | 3D plotting of graphs with OpenGL | |
| edge.betweenness.community | Community structure detection based on edge betweenness | |
| shortest.paths | Shortest (directed or undirected) paths between vertices | |
| bonpow | Find Bonacich Power Centrality Scores of Network Positions | |
| walktrap.community | Community strucure via short random walks | |
| degree.sequence.game | Generate random graphs with a given degree sequence | |
| cocitation | Cocitation coupling | |
| clusters | Connected components of a graph | |
| plot.igraph | Plotting of graphs | |
| constraint | Burt's constraint | |
| iterators | Vertex and edge sequences and iterators | |
| graph-operators | Graph operators | |
| communities | Common functions supporting community detection algorithms | |
| neighborhood | Neighborhood of graph vertices | |
| aging.prefatt.game | Generate an evolving random graph with preferential attachment and aging | |
| measure.dynamics | Measuring the driving force in evolving networks | |
| topological.sort | Topological sorting of vertices in a graph | |
| running.mean | Running mean of a time series | |
| minimum.spanning.tree | Minimum spanning tree | |
| page.rank | The Page Rank algorithm | |
| igraph-parameters | Parameters for the igraph package | |
| as.directed | Convert between directed and undirected graphs | |
| write.graph | Writing the graph to a file in some format | |
| graph-motifs | Graph motifs | |
| traits | Graph generation based on different vertex types | |
| simplify | Remove loop and/or multiple edges from a graph | |
| graph.coreness | K-core decomposition of graphs | |
| tkplot | Interactive plotting of graphs | |
| print.igraph | Print graphs to the terminal | |
| graph.structure | Method for structural manipulation of graphs | |
| subgraph | Subgraph of a graph | |
| conversion | Convert a graph to an adjacency matrix or an edge list | |
| reciprocity | Reciprocity of graphs | |
| cliques | The functions find cliques, ie. complete subgraphs in a graph | |
| graph-isomorphism | Graph Isomorphism | |
| diameter | Diameter of a graph | |
| graph.maxflow | Maximum flow in a network | |
| independent.vertex.sets | Independent vertex sets | |
| revolver | Measuring the driving force in evolving networks | |
| edge.connectivity | Edge connectivity. | |
| layout.merge | Merging graph layouts | |
| power.law.fit | Fitting a power-law distribution function to discrete data | |
| graph.graphdb | Load a graph from the graph database for testing graph isomorphism. | |
| leading.eigenvector.community | Community structure detecting based on the leading eigenvector of the community matrix | |
| igraph.sample | Sampling a random integer sequence | |
| attributes | Graph, vertex and edge attributes | |
| structure.info | Gaining information about graph structure | |
| grg.game | Geometric random graphs | |
| vertex.connectivity | Vertex connectivity. | |
| igraph.undocumented | Undocumented and unsupportted igraph functions | |
| No Results! | ||
Last month downloads
Details
| Date | Oct 3, 2007 |
| License | GPL version 2 or later (June, 1991) |
| URL | http://cneurocvs.rmki.kfki.hu/igraph |
| Packaged | Wed Oct 3 17:09:38 2007; csardi |
| suggests | rgl , stats4 , tcltk |
| depends | stats |
| Contributors | Gabor Csardi |
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