Routines for simple graphs and network analysis. It can
    handle large graphs very well and provides functions for generating random
    and regular graphs, graph visualization, centrality methods and much more.
igraphdata, stats4, rgl, tcltk, graph, ape, scales
'adjacency.R' 'auto.R' 'assortativity.R' 'attributes.R'
'basic.R' 'bipartite.R' 'centrality.R' 'centralization.R'
'cliques.R' 'cocitation.R' 'cohesive.blocks.R' 'printr.R'
'community.R' 'components.R' 'console.R' 'conversion.R'
'data_frame.R' 'decomposition.R' 'degseq.R' 'demo.R'
'embedding.R' 'epi.R' 'fit.R' 'flow.R' 'foreign.R' 'games.R'
'glet.R' 'hrg.R' 'igraph-package.R' 'incidence.R' 'indexing.R'
'interface.R' 'iterators.R' 'layout.R' 'layout_drl.R'
'lazyeval.R' 'make.R' 'mgclust.R' 'minimum.spanning.tree.R'
'motifs.R' 'nexus.R' 'operators.R' 'other.R' 'package.R'
'palette.R' 'par.R' 'paths.R' 'plot.R' 'plot.common.R'
'plot.shapes.R' 'pp.R' 'print.R' 'random_walk.R' 'rewire.R'
'scan.R' 'scg.R' 'sgm.R' 'similarity.R' 'simple.R' 'sir.R'
'socnet.R' 'sparsedf.R' 'structural.properties.R'
'structure.info.R' 'test.R' 'tkplot.R' 'topology.R'
'triangles.R' 'utils.R' 'uuid.R' 'versions.R' 'weakref.R'
'zzz-deprecate.R'