networkx

1# NetworkX
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3## Overview
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5NetworkX 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.
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7## When to Use This Skill
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9Invoke this skill when tasks involve:
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11- **Creating graphs**: Building network structures from data, adding nodes and edges with attributes
12- **Graph analysis**: Computing centrality measures, finding shortest paths, detecting communities, measuring clustering
13- **Graph algorithms**: Running standard algorithms like Dijkstra's, PageRank, minimum spanning trees, maximum flow
14- **Network generation**: Creating synthetic networks (random, scale-free, small-world models) for testing or simulation
15- **Graph I/O**: Reading from or writing to various formats (edge lists, GraphML, JSON, CSV, adjacency matrices)
16- **Visualization**: Drawing and customizing network visualizations with matplotlib or interactive libraries
17- **Network comparison**: Checking isomorphism, computing graph metrics, analyzing structural properties
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19## Core Capabilities
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21### 1. Graph Creation and Manipulation
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23NetworkX supports four main graph types:
24- **Graph**: Undirected graphs with single edges
25- **DiGraph**: Directed graphs with one-way connections
26- **MultiGraph**: Undirected graphs allowing multiple edges between nodes
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