Networkx
zLanqing/codex-claude-academic-skills/scientific-toolkit-skill/references/scientific-skills/networkxby zLanqing7ed6377f0efb6a38951b48ef03b19d996e454b1f3-clause BSD licenseListed Oct 9, 2026Updated Oct 9, 2026
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/algorithms.md | 9 KB | text/markdown |
| references/generators.md | 8 KB | text/markdown |
| references/graph-basics.md | 6.1 KB | text/markdown |
| references/io.md | 9.2 KB | text/markdown |
| references/visualization.md | 12.1 KB | text/markdown |
| SKILL.md | 12.4 KB | text/markdown |
Source and attribution
Source:zLanqing/codex-claude-academic-skillsinscientific-toolkit-skill/references/scientific-skills/networkxat commit7ed6377
License: 3-clause BSD license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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