What are centrality measures in NetworkX?

What are centrality measures in NetworkX?

Centrality measures in NetworkX help identify the most important nodes in a graph based on various criteria.

Can you explain the different types of centrality measures?

Sure! Common types include degree centrality, closeness centrality, betweenness centrality, and eigenvector centrality.

How do I calculate degree centrality using NetworkX?

You can calculate degree centrality using the degree_centrality function in NetworkX. Just pass your graph as an argument.

Can you give me a code example for that?

Absolutely! Here's a simple example:

import networkx as nx
G = nx.Graph()
G.add_edges_from([(1, 2), (1, 3), (2, 4)])
degree_centrality = nx.degree_centrality(G)
print(degree_centrality)