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.
graphics, grDevices, magrittr, Matrix, pkgconfig (>= 2.0.0),
stats, utils
ape, digest, graph, igraphdata, rgl, scales, stats4, tcltk,
testthat, withr
gmp (optional), libxml2 (optional), glpk (optional)
'adjacency.R' 'auto.R' 'assortativity.R' 'attributes.R'
'basic.R' 'bipartite.R' 'centrality.R' 'centralization.R'
'cliques.R' 'cocitation.R' 'cohesive.blocks.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'
'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' 'printr.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'