The assortativity module

Assortativity class.

class hcga.features.assortativity.Assortativity(graph=None)

Assortativity class.

Features derived from different measures of assortativity of the graph.

Uses networkx, see https://networkx.github.io/documentation/networkx-2.4/reference/ algorithms/assortativity.html

References

1

M. E. J. Newman, Mixing patterns in networks, Physical Review E, 67 026126, 2003

2

Foster, J.G., Foster, D.V., Grassberger, P. & Paczuski, M. Edge direction and the structure of networks, PNAS 107, 10815-20 (2010).

Initialise a feature class.

Parameters

graph (Graph) – graph for initialisation, converted to given encoding

compute_features()

Main feature extraction function.

This function should be used by each specific feature class to add new features.

hcga.features.assortativity.average_neighbor_degree(graph)

Average neighbor degree.

hcga.features.assortativity.weigted_average_neighbor_degree(graph)

Average neighbor degree.