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Exercise

Subgraphs I

There may be times when you just want to analyze a subset of nodes in a network. To do so, you can copy them out into another graph object using G.subgraph(nodes), which returns a new graph object (of the same type as the original graph) that is comprised of the iterable of nodes that was passed in.

matplotlib.pyplot has been imported for you as plt.

Instructions
100 XP
  • Write a function get_nodes_and_nbrs(G, nodes_of_interest) that extracts the subgraph from graph G comprised of the nodes_of_interest and their neighbors.
    • In the first for loop, iterate over nodes_of_interest and append the current node n to nodes_to_draw.
    • In the second for loop, iterate over the neighbors of n, and append all the neighbors nbr to nodes_to_draw.
  • Use the function to extract the subgraph from T comprised of nodes 29, 38, and 42 (contained in the pre-defined list nodes_of_interest) and their neighbors. Save the result as T_draw.
  • Draw the subgraph T_draw to the screen.