How can I use NetworkX for graph analysis?

How can I use NetworkX for graph analysis?

You can use NetworkX to create, manipulate, and study the structure of complex networks. What specific analysis are you interested in?

I want to analyze social networks. Can you show me an example?

Sure! You can start by creating a graph using NetworkX. Here's a simple example:

import networkx as nx
G = nx.Graph()
G.add_edges_from([(1, 2), (1, 3), (2, 4)])

# Now you can analyze the graph
print(nx.info(G))

This will give you basic information about the graph.

What functions can I use to find the shortest path in a graph?

You can use the nx.shortest_path() function. For example:

shortest = nx.shortest_path(G, source=1, target=4)
print(shortest)

This will return the shortest path from node 1 to node 4.

Are there any visualization tools I can use with NetworkX?

Yes! You can use Matplotlib to visualize graphs created with NetworkX. Here's a simple example:

import matplotlib.pyplot as plt
nx.draw(G, with_labels=True)
plt.show()