ComeçarComece de graça

Reading graphs

In this exercise, before you compute projections, you're going to practice working with one of NetworkX's disk I/O functions, read_edgelist(). read_edgelist() creates a graph from the edgelist file. The graph that you'll be working with is a bipartite graph describing the American Revolution. There are two node partitions - 'people' and 'clubs', and edges denote a person being a member of a club.

Este exercício faz parte do curso

Intermediate Network Analysis in Python

Ver curso

Instruções do exercício

  • Import networkx as nx.
  • Use nx.read_edgelist() to read in 'american-revolution.edgelist'.
  • In the dataset, 'clubs' do not have a . symbol in their node name. Use this information to assign nodes to 'clubs' or 'people' partitions. Remember the 'bipartite' keyword!
  • Print the edges of the graph.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# Import networkx
import networkx as nx

# Read in the data: g
G = ____

# Assign nodes to 'clubs' or 'people' partitions
for n, d in G.nodes(data=True):
    if '.' in n:
        G.nodes[n]['____'] = '____'
    else:
        ____ = '____'
        
# Print the edges of the graph
print(____)
Editar e executar o código