How does this skill use cellular sheaves?

It converts network stacks into cellular sheaves to perform diffusion analysis via a Laplacian, tracing how ideas move between source and target users with specific confidence scores.

What is a reach multiplier in this context?

A reach multiplier is an amplification factor calculated by comparing a node's second-order network size against its direct connections to measure influence potential.

What is the role of the GF(3) Triad in this skill?

The GF(3) Triad integration ensures conservation across the network bundle, where influence-propagation acts as a validator (-1) to verify patterns generated by other skills.

Does this skill require a specific database?

While the skill provides optimized DuckDB schemas for network nodes and influence edges, the logic can be adapted to any SQL-compatible data store.

Influence Propagation & Network Analysis

Name: Influence Propagation & Network Analysis
Author: plurigrid

byplurigrid

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Analytics & Monitoring

Analyzes and traces the flow of ideas and behaviors across complex social networks using second-order analysis and cellular sheaves.

The influence-propagation skill provides advanced tools for Layer 7 network analysis, enabling developers to map how concepts evolve and spread through digital ecosystems. By leveraging condensed stacks and cellular sheaves, it calculates sophisticated metrics like reach multipliers, adoption rates, and decay half-lives. This skill is particularly useful for building social monitoring systems, understanding information diffusion, and validating influence patterns through second-order network approximations and topological data structures within a Claude Code environment.

Key Features

01Implements interperspectival thread analysis via Hy perspective mapping

027 GitHub stars

03Traces idea adoption timelines using cellular sheaf diffusion analysis

04Validates network flow patterns using GF(3) triad integration

05Provides structured DuckDB schemas for efficient social graph storage and querying

06Calculates second-order network reach multipliers and amplification factors

Use Cases

01Identifying key amplifiers and bridge nodes within a multi-layered network

02Measuring the viral reach and adoption rate of specific topics across social platforms

03Modeling the persistence and decay of information flow in decentralized communication threads

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi influence-propagation

For use in Claude.ai and ChatGPT

Download Skill