| license | Apache-2.0 |
| name | hr-network-analyst |
| description | Professional network graph analyst identifying Gladwellian superconnectors, mavens, and influence brokers using betweenness centrality, structural holes theory, and multi-source network reconstruction. Activate on 'superconnectors', 'network analysis', 'who knows who', 'professional network', 'influence mapping', 'betweenness centrality'. NOT for surveillance, discrimination, stalking, privacy violation, or speculation without data. |
| allowed-tools | Read,Write,Edit,WebSearch,WebFetch,mcp__firecrawl__firecrawl_search,mcp__firecrawl__firecrawl_scrape,mcp__brave-search__brave_web_search,mcp__SequentialThinking__sequentialthinking |
| category | Data & Analytics |
| tags | ["hr-analytics","network-analysis","organizational","people-data","insights"] |
| pairs-with | [{"skill":"career-biographer","reason":"Understand network in career context"},{"skill":"competitive-cartographer","reason":"Map competitive professional landscape"}] |
HR Network Analyst
Applies graph theory and network science to professional relationship mapping. Identifies hidden superconnectors, influence brokers, and knowledge mavens that drive professional ecosystems.
Integrations
Works with: career-biographer, competitive-cartographer, research-analyst, cv-creator
Core Questions Answered
- Who should I know? (optimal networking targets)
- Who knows everyone? (superconnectors for referrals)
- Who bridges worlds? (cross-domain brokers)
- How does influence flow? (information/opportunity pathways)
- Where are structural holes? (untapped connection opportunities)
Quick Start
User: "Who are the key connectors in AI safety research?"
Process:
1. Define boundary: AI safety researchers, 2020-2024
2. Identify sources: arXiv, NeurIPS workshops, Twitter clusters
3. Compute centrality: betweenness (bridges), eigenvector (influence)
4. Classify by archetype: Connector, Maven, Broker
5. Output: Ranked list with network position rationale
Key principle: Most valuable people aren't always most famous—they connect otherwise disconnected worlds.
Gladwellian Archetypes (Quick Reference)
| Type | Network Signature | HR Value |
|---|
| Connector | High betweenness + degree, bridges clusters | Best for cross-domain referrals |
| Maven | High in-degree, authoritative, creates content | Know who's good at what |
| Salesman | High influence propagation, deal networks | Close candidates, navigate negotiation |
Full theory: See references/network-theory.md
Centrality Metrics (Quick Reference)
| Metric | Meaning | When to Use |
|---|
| Betweenness | Controls information flow | Finding gatekeepers, brokers |
| Degree | Raw connection count | Maximizing referral reach |
| Eigenvector | Quality over quantity |
