Does it support data persistence?

Yes, the skill utilizes a structured DuckDB schema to store network nodes, influence edges, and perspective views for long-term historical analysis.

Can I use this with real-world social data?

Yes, it is designed to integrate with data ingestion tools to analyze live network data from social platforms, particularly those utilizing the AT Protocol.

What is a reach multiplier in this skill?

A reach multiplier is a metric that compares your second-order reach (friends-of-friends) against your direct reach to determine how much your influence is amplified by your network's connections.

How does idea tracing work?

It tracks mentions of specific fingerprints or keywords over a set time window, identifying origin nodes and building a directed acyclic graph (DAG) of how the topic spread through users.

Influence Propagation Analysis

Name: Influence Propagation Analysis
Author: plurigrid

byplurigrid

•

データサイエンスとML

Analyzes how ideas and behaviors spread through social networks using interperspectival network analysis and second-order connectivity.

Influence Propagation is a specialized analytical skill designed for deep social network research and influence mapping within the Claude Code environment. It enables users to trace the adoption of specific ideas, calculate reach multipliers beyond direct followers, and map how different network segments perceive central actors. By leveraging second-order network analysis and DuckDB for high-performance data persistence, it provides rigorous metrics on idea velocity, saturation points, and clustering coefficients, making it an essential tool for understanding digital influence, information flow, and community dynamics.

主な機能

01Calculates reach multipliers to measure influence amplification factors

028 GitHub stars

03Performs second-order network analysis to identify friends-of-friends reach

04Generates perspective maps to understand how different groups perceive a subject

05Traces idea adoption rates and identifies key amplifiers within a network

06Maps topic propagation trees to visualize the spread of specific concepts

ユースケース

01Identifying influential bridge-builders in a community who connect disparate social groups

02Analyzing the sentiment and perceived role of an organization across different demographics

03Measuring the viral spread and adoption rate of technical concepts or marketing slogans

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