network-analysis-guide
Social network analysis methods, metrics, and visualization tools
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill network-analysis-guide --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Network Analysis Guide A skill for conducting social network analysis (SNA) in research contexts. Covers network data collection and representation, key structural metrics (centrality, density, clustering), community detection algorithms, ego network analysis, longitudinal network models, and visualization best practices using Python NetworkX, igraph, and Gephi. ## Network Data Fundamentals ###
What does the network-analysis-guide skill do?
Social network analysis methods, metrics, and visualization tools
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill network-analysis-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.