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Complex Network Analysis in Python
book

Complex Network Analysis in Python

by Dmitry Zinoviev
January 2018
Beginner to intermediate
262 pages
6h 3m
English
Pragmatic Bookshelf
Content preview from Complex Network Analysis in Python

Combine Gephi and NetworkX

There is no implicit integration between Gephi and NetworkX. However, you can use Gephi graph file exporter (File > Export > Graph file…) to save your network into a file that could be imported by NetworkX. GraphML is the preferred interchange format because it preserves all calculated measures (such as centralities and modularity classes) as node attributes. This way you could use Gephi to perform a quick-and-dirty interactive analysis of a network and save it into a graphml file for further processing.

You just learned one more way to build and analyze networks by hand, and you now understand that analyzing one not-so-large, pre-packaged complex network with Gephi is a pleasure. You also understand that constructing ...

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Publisher Resources

ISBN: 9781680505399Errata Page