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ⓘ NetworkX. Conversion of graphs to and from several formats. Draw networks in 2D and 3D. Ability to construct random graphs or construct them incrementally. Abil ..




NetworkX
                                     

ⓘ NetworkX

  • Conversion of graphs to and from several formats.
  • Draw networks in 2D and 3D.
  • Ability to construct random graphs or construct them incrementally.
  • Ability to find subgraphs, cliques, k-cores.
  • Explore adjacency, degree, diameter, radius, center, betweenness, etc.
  • Classes for graphs and digraphs.
                                     

1. Suitability

NetworkX is suitable for operation on large real-world graphs: e.g., graphs in excess of 10 million nodes and 100 million edges. Due to its dependence on a pure-Python "dictionary of dictionary" data structure, NetworkX is a reasonably efficient, very scalable, highly portable framework for network and social network analysis.

                                     
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