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Complex Network Analysis in Python by Dmitry Zinoviev

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Plot and Compare the Networks

All four networks have the same number of nodes and similar density (and a similar number of edges), which makes them very easy to compare. The following picture shows the charts of all four networks.

images/compare_traumas.png

The difference between the tidy generalized similarity network cleanly separated into two components, and its brethren, is striking. You can still see some structure in the Pearson network, but the other two graphs are nearly random.

The numerical experiment with community structure extraction (see Outline Modularity-Based Communities) confirms: the first network has an acceptable modularity of 0.47 and three network ...

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