Warning

This documents an unmaintained version of NetworkX. Please upgrade to a maintained version and see the current NetworkX documentation.

Ego Graph

Example using the NetworkX ego_graph() function to return the main egonet of the largest hub in a Barabási-Albert network.

# Author:  Drew Conway (drew.conway@nyu.edu)

from operator import itemgetter

import matplotlib.pyplot as plt
import networkx as nx

if __name__ == '__main__':
    # Create a BA model graph
    n = 1000
    m = 2
    G = nx.generators.barabasi_albert_graph(n, m)
    # find node with largest degree
    node_and_degree = G.degree()
    (largest_hub, degree) = sorted(node_and_degree, key=itemgetter(1))[-1]
    # Create ego graph of main hub
    hub_ego = nx.ego_graph(G, largest_hub)
    # Draw graph
    pos = nx.spring_layout(hub_ego)
    nx.draw(hub_ego, pos, node_color='b', node_size=50, with_labels=False)
    # Draw ego as large and red
    nx.draw_networkx_nodes(hub_ego, pos, nodelist=[largest_hub], node_size=300, node_color='r')
    plt.show()