What are the key properties of graphs in NetworkX?
An example of an AI chatbot conversation about graph properties in NetworkX.
What are the key properties of graphs in NetworkX?
In NetworkX, key properties of graphs include nodes, edges, degree, connectivity, and clustering coefficients.
Can you explain what the degree of a node is?
The degree of a node is the number of edges connected to it. In directed graphs, we have in-degree and out-degree.
What is the clustering coefficient?
The clustering coefficient measures how connected a node's neighbors are to each other, indicating local density.
How can I visualize a graph in NetworkX?
You can visualize a graph in NetworkX using Matplotlib. Just use the draw() function after creating your graph.
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