ant-subagent

What problem does it solve?

It helps you analyze complex social phenomena by turning actor networks (human and non-human) into structured graph data and interpretation-ready results based on Actor-Network Theory (ANT).

Core Features & Use Cases

• Actor-network mapping: Builds a network graph from provided actors and relationships, preserving actor types and relationship attributes.
• Network analysis for key actors: Computes network properties (density, components, clustering, centrality measures) and identifies key nodes using centrality.
• Community/structure discovery: Detects communities via modularity-based clustering (with a fallback when needed).
• ANT translation lens: Supports analysis focused on how actors are enrolled and mobilized through translation processes in the network.

Example use case: You have qualitative and relational data describing how organizations, technologies, and stakeholders interact in a digital transformation process; you can generate a network map, identify central and bridging actors, and summarize community structures to support ANT-style interpretation.

Quick Start

Run ant-subagent with an input file containing actor and relationship data to produce a JSON network analysis summary with key nodes and communities.