profile-metrics
Compute corpus-local influence/centrality metrics — per-paper CD-index + PageRank, and per-PROF-P h-index / mean-CD / mean-PageRank / betweenness / eigenvector + influence grade. Runs via `aiwg corpus profile-metrics`.
- License 许可
- MIT
- 所属仓库
- jmagly/aiwg
- 最近更新
- 2026-11-14
- Stars
- ★ 229
- Forks
- 36
01 前言 Front Matter
- name
- profile-metrics
- namespace
- aiwg
- platforms
- [ "all" ]
- commandHint
- { "model": "haiku", "category": "research-analytics", "modelRole": "efficiency", "modelTier": "economy", "allowedTools": "Read, Bash", "argumentHint": "[--papers] [--out PATH]" }
- description
- Compute corpus-local influence/centrality metrics — per-paper CD-index + PageRank, and per-PROF-P h-index / mean-CD / mean-PageRank / betweenness / eigenvector + influence grade. Runs via `aiwg corpus profile-metrics`.
03 SKILL.md 正文
Profile Metrics
Corpus-local bibliometric + social-network metrics over the co-author and citation graphs (NetworkX-equivalent, no graph library).
How to run
aiwg corpus profile-metrics # per-PROF-P table to stdout
aiwg corpus profile-metrics --papers # per-paper CD-index + PageRank
aiwg corpus profile-metrics --out indices/metrics.md
Per person (PROF-P): h-index (Hirsch), mean CD-index (Wu-Wang-Evans
disruption), mean PageRank, betweenness + eigenvector centrality on
the co-author graph, and an influence grade (h≥3→A, ≥2→B, ≥1→C, else D).
Per paper (--papers): CD-index + PageRank.
CD-index is null for papers with < 3 in-corpus citers (low confidence). The node2vec embedding metrics are an opt-in add-on (needs-infrastructure), not computed here.
Triggers
- "compute influence metrics"
- "h-index / PageRank / disruption for the corpus"
/profile-metrics
References
- @$AIWG_ROOT/src/artifacts/corpus-tools/profile-metrics.ts · corpus-graph.ts — implementation
- profile-temporal / profile-communities skills
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