Tutorial

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NetworkSNS is built upon NetworkX and DyNetX and is designed to configure, model and analyze complex and dynamic networks.

In this tutorial we will introduce some of the basic centrality measures:

Total communicability

We compute the total communicability of a simple graph, that is the row sum of the exponential of the adjacency matrix \(A\) .

from networksns import centrality_measures as cm
import networkx as nx

 G = nx.Graph()
 G.add_edge(1, 2)
 G.add_edge(2, 3)
 tc = cm.total_communicability(G)

Adding the parameter t we can also compute the exponential matrix of \(tA\).

t = 3
tc = cm.total_communicability(G)