How does the skill track idea adoption?

It uses the IdeaTracer class to monitor specific keywords or concepts across a network, calculating adoption rates, velocity, and identifying the users who act as the primary spreaders.

What kind of data storage does it support?

The skill provides a pre-defined DuckDB schema for storing network nodes, influence edges, idea adoption fingerprints, and perspective views for high-performance querying.

Can this skill be used with decentralized social data?

Yes, it is designed to integrate with data sources like AT Protocol (Bluesky) via the atproto-ingest layer to analyze real-world network interactions.

What is a reach multiplier in this context?

A reach multiplier is a metric that calculates the ratio of a user's second-order reach (friends-of-friends) to their direct reach, quantifying their true potential for influence amplification.

Influence Propagation Network Analysis

Name: Influence Propagation Network Analysis
Author: plurigrid

byplurigrid

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データサイエンスとML

Analyzes and traces the spread of ideas, topics, and behaviors across social networks using high-order graph theory.

The Influence Propagation skill provides a sophisticated suite of tools for Layer 7 network analysis, focusing on how information and influence flow through interperspectival networks. It extends basic graph metrics with second-order analysis to measure reach multipliers, idea adoption rates, and decay half-lives. Designed for developers and researchers working with complex social graphs, this skill allows for deep perspective mapping, identifying key amplifiers in a network, and visualizing the evolution of topics through structured DuckDB data storage and GF(3) triad integration.

主な機能

018 GitHub stars

02Generates perspective maps to understand multi-user consensus and sentiment

03Traces idea adoption timelines and identifies key network amplifiers

04Calculates reach multipliers to quantify influence amplification factors

05Performs second-order network analysis to identify friends-of-friends connections

06Maps topic propagation using Directed Acyclic Graphs (DAGs) to visualize flow

ユースケース

01Analyzing the reputation and perceived roles of users within decentralized social protocols

02Measuring the viral impact and adoption rate of technical concepts across social graphs

03Identifying influential 'bridge' users who connect disparate network clusters

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