Towards Data Science | Medium

Navigating Networks with NetworkX: A Short Guide to Graphs in Python

NetworkX is a Python library that allows users to build, analyze, and visualize graphs, which are collections of nodes and edges that represent relationships between entities. This library is useful for understanding complex systems, such as social networks, transportation grids, and molecules. The Karate Club Network is a well-known example in network science, illustrating a split in a karate club between two factions centered around "Mr. Hi" and "Officer." Centrality measures, like degree, betweenness, and closeness centrality, help identify key players or bottlenecks in a network. These measures can reveal influential nodes based on their connections, accessibility, and position in the network.
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