igraph v0.6.5-1
0
Monthly downloads
by Gabor Csardi
Network analysis and visualization
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 | |
| stMincuts | List all minimum $(s,t)$-cuts of a graph | |
| articulation.points | Articulation points of a graph | |
| arpack | ARPACK eigenvector calculation | |
| biconnected.components | Biconnected components | |
| alpha.centrality | Find Bonacich alpha centrality scores of network positions | |
| get.incidence | Incidence matrix of a bipartite graph | |
| bipartite.projection | Project a bipartite graph | |
| barabasi.game | Generate scale-free graphs according to the Barabasi-Albert model | |
| compare.communities | Compares community structures using various metrics | |
| dendPlot.igraphHRG | HRG dendrogram plot | |
| degree | Degree and degree distribution of the vertices | |
| erdos.renyi.game | Generate random graphs according to the Erdos-Renyi model | |
| dominator.tree | Dominator tree | |
| edge.connectivity | Edge connectivity. | |
| graph.incidence | Create graphs from an incidence matrix | |
| infomap.community | Infomap community finding | |
| graph.formula | Creating (small) graphs via a simple interface | |
| assortativity | Assortativity coefficient | |
| igraph-package | The igraph package | |
| growing.random.game | Growing random graph generation | |
| graph.lcf | Creating a graph from LCF notation | |
| betweenness | Vertex and edge betweenness centrality | |
| graph.data.frame | Creating igraph graphs from data frames or vice-versa | |
| rewire.edges | Rewires the endpoints of the edges of a graph randomly | |
| forest.fire.game | Forest Fire Network Model | |
| graph.density | Graph density | |
| graph.automorphisms | Number of automorphisms | |
| graph.bipartite | Create a bipartite graph | |
| interconnected.islands | A graph with subgraphs that are each a random graph. | |
| is.named | Named graphs | |
| k.regular.game | Create a random regular graph | |
| layout.sugiyama | The Sugiyama graph layout generator | |
| write.graph | Writing the graph to a file in some format | |
| graph.famous | Creating named graphs | |
| graph.graphdb | Load a graph from the graph database for testing graph isomorphism. | |
| structure.info | Gaining information about graph structure | |
| power.law.fit | Fitting a power-law distribution function to discrete data | |
| reciprocity | Reciprocity of graphs | |
| simplify | Simple graphs | |
| layout | Generate coordinates for plotting graphs | |
| maximum.cardinality.search | Maximum cardinality search | |
| shortest.paths | Shortest (directed or undirected) paths between vertices | |
| graph.kautz | Kautz graphs | |
| graph.structure | Method for structural manipulation of graphs | |
| tkigraph | Experimental basic igraph GUI | |
| igraph options | Parameters for the igraph package | |
| optimal.community | Optimal community structure | |
| nexus | Query and download from the Nexus network repository | |
| igraph.sample | Sampling a random integer sequence | |
| diameter | Diameter of a graph | |
| label.propagation.community | Finding communities based on propagating labels | |
| graph.diversity | Graph diversity | |
| transitivity | Transitivity of a graph | |
| girth | Girth of a graph | |
| graph.strength | Strength or weighted vertex degree | |
| grg.game | Geometric random graphs | |
| aging.prefatt.game | Generate an evolving random graph with preferential attachment and aging | |
| as.directed | Convert between directed and undirected graphs | |
| is.multiple | Find the multiple or loop edges in a graph | |
| spinglass.community | Finding communities in graphs based on statistical meachanics | |
| dyad.census | Dyad census of a graph | |
| Graphs from adjacency lists | Create graphs from adjacency lists | |
| is.dag | Directed acyclic graphs | |
| rewire | Graph rewiring | |
| vertex.connectivity | Vertex connectivity. | |
| subgraph | Subgraph of a graph | |
| layout.grid | Simple grid layout | |
| graph.laplacian | Graph Laplacian | |
| subgraph.centrality | Find subgraph centrality scores of network positions | |
| watts.strogatz.game | The Watts-Strogatz small-world model | |
| layout.star | Generate coordinates to place the vertices of a graph in a star-shape | |
| graph-operators-by-name | Graph operators based on symbolic vertex names | |
| cliques | The functions find cliques, ie. complete subgraphs in a graph | |
| unfold.tree | Convert a general graph into a forest | |
| Vertex shapes | Various vertex shapes when plotting igraph graphs | |
| graph.maxflow | Maximum flow in a network | |
| conversion between igraph and graphNEL graphs | Convert igraph graphs to graphNEL objects or back | |
| preference.game | Trait-based random generation | |
| graph-motifs | Graph motifs | |
| leading.eigenvector.community | Community structure detecting based on the leading eigenvector of the community matrix | |
| traits | Graph generation based on different vertex types | |
| closeness | Closeness centrality of vertices | |
| rglplot | 3D plotting of graphs with OpenGL | |
| plot.igraph | Plotting of graphs | |
| running.mean | Running mean of a time series | |
| is.weighted | Weighted graphs | |
| get.stochastic | Stochastic matrix of a graph | |
| graph.dfs | Depth-first search | |
| canonical.permutation | Canonical permutation of a graph | |
| neighborhood | Neighborhood of graph vertices | |
| edge.betweenness.community | Community structure detection based on edge betweenness | |
| kleinberg | Kleinberg's centrality scores. | |
| igraph console | The igraph console | |
| Drawing graphs | Drawing graphs | |
| is.mutual | Find mutual edges in a directed graph | |
| dendPlot | Plot dendrograms | |
| degree.sequence.game | Generate random graphs with a given degree sequence | |
| graph-isomorphism | Graph Isomorphism | |
| contract.vertices | Contract several vertices into a single one | |
| get.adjlist | Adjacency lists | |
| Combining attributes | How igraph functions handle attributes when the graph changes | |
| centralization | Centralization of a graph.tmax | |
| minimum.spanning.tree | Minimum spanning tree | |
| is.separator | Vertex separators | |
| fastgreedy.community | Community structure via greedy optimization of modularity | |
| graph.matching | Graph matching | |
| layout.mds | Graph layout by multidimensional scaling | |
| read.graph | Reading foreign file formats | |
| graph-operators | Graph operators | |
| similarity | Similarity measures of two vertices | |
| convex.hull | Convex hull of a set of vertices | |
| graph.full.bipartite | Create a full bipartite graph | |
| graph.constructors | Various methods for creating graphs | |
| attributes | Graph, vertex and edge attributes | |
| layout.drl | The DrL graph layout generator | |
| is.degree.sequence | Degree sequences of graphs | |
| community.to.membership | Common functions supporting community detection algorithms | |
| scgExtra | SCG Extra Functions | |
| cohesive.blocks | Calculate Cohesive Blocks | |
| decompose.graph | Decompose a graph into components | |
| cocitation | Cocitation coupling | |
| evcent | Find Eigenvector Centrality Scores of Network Positions | |
| bipartite.mapping | Decide whether a graph is bipartite | |
| print.igraph | Print graphs to the terminal | |
| as.igraph | Conversion to igraph | |
| communities | Functions to deal with the result of network community detection | |
| stCuts | List all (s,t)-cuts of a graph | |
| graph.adjacency | Create graphs from adjacency matrices | |
| scg | All-in-one Function for the SCG of Matrices and Graphs | |
| scgGrouping | SCG Problem Solver | |
| is.igraph | Is this object a graph? | |
| scgSemiProjectors | Semi-Projectors | |
| autocurve.edges | Optimal edge curvature when plotting graphs | |
| dendPlot.communities | Community structure dendrogram plots | |
| clusters | Connected components of a graph | |
| get.edge.ids | Find the edge ids based on the incident vertices of the edges | |
| graph.coreness | K-core decomposition of graphs | |
| minimum.size.separators | Minimum size vertex separators | |
| permute.vertices | Permute the vertices of a graph | |
| layout.merge | Merging graph layouts | |
| static.fitness.game | Random graphs from vertex fitness scores | |
| triad.census | Triad census, subgraphs with three vertices | |
| eccentricity | Eccentricity and radius | |
| Spectral coarse graining | Spectral Coarse Graining | |
| conversion | Convert a graph to an adjacency matrix or an edge list | |
| independent.vertex.sets | Independent vertex sets | |
| static.power.law.game | Scale-free random graphs, from vertex fitness scores | |
| graph.bfs | Breadth-first search | |
| is.chordal | Chordality of a graph | |
| modularity | Modularity of a community structure of a graph | |
| line.graph | Line graph of a graph | |
| tkplot | Interactive plotting of graphs | |
| Pie charts as vertices | Using pie charts as vertices in graph plots | |
| bonpow | Find Bonacich Power Centrality Scores of Network Positions | |
| revolver | Measuring the driving force in evolving networks | |
| constraint | Burt's constraint | |
| graph.knn | Average nearest neighbor degree | |
| Hierarchical random graphs | Hierarchical random graphs | |
| multilevel.community | Finding community structure by multi-level optimization of modularity | |
| page.rank | The Page Rank algorithm | |
| walktrap.community | Community strucure via short random walks | |
| minimal.st.separators | Minimum size vertex separators | |
| igraph.undocumented | Undocumented and unsupportted igraph functions | |
| components | In- or out- component of a vertex | |
| iterators | Vertex and edge sequences and iterators | |
| topological.sort | Topological sorting of vertices in a graph | |
| graph.de.bruijn | De Bruijn graphs. | |
| igraphdemo | Run igraph demos, step by step | |
| No Results! | ||
Last month downloads
Details
| Date | 2013-02-27 |
| License | GPL (>= 2) |
| URL | http://igraph.sourceforge.net |
| SystemRequirements | gmp, libxml2 |
| Packaged | 2013-02-27 16:49:18 UTC; gaborcsardi |
| NeedsCompilation | yes |
| Repository | CRAN |
| Date/Publication | 2013-02-28 07:57:40 |
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