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Complex Network Analysis in Python by Dmitry Zinoviev

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Choose the Right Centralities

This section uses Matplotlib, Pandas, NumPy.

One of the goals of social network analysis is to identify actors with outstanding properties: the most influential, the most efficient, the most irreplaceable—in other words, the most important. CNA, in general, is also looking at the most important nodes: key products in product networks; key words in semantic networks; key events in the networks of events, and the like. One of the central premises of CNA is that the importance of a node depends on the structural position of the node in the network and can be calculated from neighborhoods, geodesics, or some other structural elements. Let’s go over some of the most common centrality measures, without going deep into ...

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