networkx

NetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs. Use this skill when working with network or graph data structures, including social networks, biological networks, transportation systems, citation networks, knowledge graphs, or any system involving relationships between entities. Invoke this skill when tasks involve: NetworkX supports four main graph types: Create graphs by: Reference : See references/graph-basics.md for comprehensive guidance on creating, modifying, examining, and managing graph structures, including working with attributes and subgraphs. NetworkX provides extensive algorithms for network analysis: Shortest Paths : Centrality Measures : Community Detection : Connectivity : Reference : See references/algorithms.md for detailed documentation on all available algorithms including shortest paths, centrality measures, clustering, community detection, flows, matching, tree algorithms, and graph traversal. Create synthetic networks for testing, simulation, or modeling: Classic Graphs : Random Networks : Structured Networks : Reference : See references/generators.md for comprehensive coverage of all graph generators including classic, random, lattice, bipartite, and specialized network models with detailed parameters and use cases. NetworkX supports numerous file formats and data sources: File Formats : Pandas...