ant-participant-identification
CommunityIdentify human and non-human actors in ANT networks.
Education & Research#social-network-analysis#network-metrics#participant-identification#actor-network-theory#sociotechnical#human-actors#non-human-actors
Authorptreezh
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill solves the problem of identifying all relevant participants (both human and non-human) in an Actor-Network Theory setting so you can accurately model who/what acts, how, and with what relational significance.
Core Features & Use Cases
- Human actor recognition: Extract and inventory individual, organizational, and collective actors from the provided research text.
- Non-human actor recognition: Detect technologies, documents, concepts, artifacts, and natural/contextual entities that participate in the socio-technical network.
- Relationship and network positioning: Infer connections based on co-occurrence and action cues, then compute basic network metrics (with graceful fallback when advanced libraries are unavailable).
Quick Start
Use the ant-participant-identification skill on your input text (or JSON with a text/content field) to generate an actor inventory, relationship list, and network metrics.
Dependency Matrix
Required Modules
numpypandasnetworkxmatplotlibseabornscipyjieba
Components
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: ant-participant-identification Download link: https://github.com/ptreezh/sscisubagent-skills/archive/main.zip#ant-participant-identification Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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