Estimate Network Uniformity Through Assortativity
This section uses NumPy.
In the last section of the chapter, let’s look at node attributes we have completely ignored so far. As an example, I’ll use a snapshot of Odnoklassniki,[34] the second-largest Russian language social networking site, harvested in February 2009. The snapshot has 408,715 nodes and 4,482,086 edges. Each node has attributes age and gender (self-reported).
Attribute analysis looks into assortativity: correlation between the values of a node attribute across edges. A network with positively correlated attributes is called assortative; in an assortative network, nodes tend to connect to nodes with similar attribute values. This tendency is called assortative mixing. A dissortative ...
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