network-computation-expert
CommunityTurn raw relations into network insights.
Data & Analytics#visualization#data processing#network analysis#research methodology#centrality#community detection#social networks
Authorptreezh
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It helps you convert raw social-science relationship data into a structured network, then compute key network indicators, discover communities, and produce analysis-ready results for interpretation.
Core Features & Use Cases
- Network data processing: Extract relationship records from different source types, clean/validate them, and standardize the network input.
- Network construction: Build standardized node/edge representations (directed/undirected, weighted/unweighted) and attach node/edge attributes.
- Network analytics & outputs: Compute centrality measures, detect communities, and summarize network structure with publishable-quality results and visual/graph-ready data.
Quick Start
Use the network-computation-expert skill to process your JSON relationship data, construct the network, compute centralities, run community detection, and return an integrated analysis summary.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: network-computation-expert Download link: https://github.com/ptreezh/sscisubagent-skills/archive/main.zip#network-computation-expert Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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