Network analysis

Skill a5c-ai/babysitter/library/specializations/domains/social-sciences-humanities/social-sciences/skills/network-analysis

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Install

npx -y skills add a5c-ai/babysitter --skill network-analysis

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What its author says it does

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Map and analyze social network structures using centrality measures, community detection, and visualization tools like Gephi or UCINET

SKILL.md

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Network Analysis Skill

Map and analyze social network structures using graph theory methods and specialized visualization tools.

Overview

The Network Analysis skill enables mapping and analysis of social network structures using centrality measures, community detection algorithms, and visualization tools like Gephi, UCINET, or igraph for understanding relational patterns in social systems.

Capabilities

Network Mapping

Data collection methods
Edge list construction
Adjacency matrix creation
Network boundary definition
Multi-mode networks

Centrality Analysis

Degree centrality
Betweenness centrality
Closeness centrality
Eigenvector centrality
PageRank and variants

Community Detection

Modularity optimization
Hierarchical clustering
Block modeling
Clique detection
Core-periphery structure

Network Metrics

Density and connectivity
Clustering coefficient
Path length measures
Reciprocity and transitivity
Structural holes

Visualization

Gephi workflows
UCINET procedures
igraph in R/Python
Layout algorithms
Dynamic visualization

Usage Guidelines

When to Use

Mapping relationships
Identifying key actors
Detecting communities
Analyzing diffusion
Understanding structure

Best Practices

Define boundaries clearly
Document data collection
Select appropriate metrics
Validate interpretations
Visualize effectively

Integration Points

Quantitative Methods skill
Qualitative Analysis skill
Survey Design and Administration skill
Mixed Methods Integration skill

References

Social Network Analysis process
Statistical Analysis Pipeline process
Computational Social Scientist agent