What are some important graph metrics in NetworkX?
An example of an AI chatbot conversation about graph metrics in NetworkX.
What are some important graph metrics in NetworkX?
In NetworkX, important graph metrics include degree, clustering coefficient, betweenness centrality, and closeness centrality.
Can you explain what betweenness centrality is?
Betweenness centrality measures the number of times a node acts as a bridge along the shortest path between two other nodes.
How do I calculate the clustering coefficient in NetworkX?
You can calculate the clustering coefficient using the nx.clustering(G) function, where G is your graph.
Are there any visualizations for these metrics?
Yes, you can use libraries like Matplotlib or Plotly to visualize these metrics alongside your graph.
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