eigenvector(g_original: object) → cdlib.classes.node_clustering.NodeClustering

Newman’s leading eigenvector method for detecting community structure based on modularity. This is the proper internal of the recursive, divisive algorithm: each split is done by maximizing the modularity regarding the original network.

Supported Graph Types

Undirected Directed Weighted
Yes No No
Parameters:g_original – a networkx/igraph object
Returns:NodeClustering object
>>> from cdlib import algorithms
>>> import networkx as nx
>>> G = nx.karate_club_graph()
>>> com = algorithms.eigenvector(G)

Newman, Mark EJ. Finding community structure in networks using the eigenvectors of matrices. Physical review E 74.3 (2006): 036104.