NetworkX — NetworkX documentation

NetworkX is a Python library designed for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. It provides a comprehensive set of tools for working with graphs, which are mathematical structures used to model relationships between entities.

Key features of NetworkX:

• Graph Representation:

  NetworkX allows the creation of various graph types, including directed graphs, undirected graphs, and multigraphs, where nodes can represent any arbitrary data (e.g., text, images, objects) and edges can hold associated data like weights or timestamps.

• Graph Generators:

  It includes functions to generate classic graphs (e.g., complete graphs, cycle graphs), random graphs, and synthetic networks, which are useful for testing algorithms or simulating network phenomena.

• Network Analysis Algorithms:

  NetworkX provides implementations of numerous algorithms for analyzing network structures, including centrality measures (e.g., betweenness centrality, closeness centrality), shortest path algorithms, community detection, and more.

• Drawing and Visualization:

  The library offers functionalities for drawing and visualizing networks, allowing users to represent nodes and edges graphically, which aids in understanding network structures and relationships.