How is the data stored and queried?

The skill uses a structured DuckDB schema to manage network nodes, influence edges, idea adoptions, and perspective views for high-performance local analysis.

What is a second-order network in this skill?

A second-order network refers to the 'friends-of-friends' layer, allowing the analysis of connections and influence that extend beyond direct followers or immediate interactions.

How does the reach-multiplier calculation work?

The reach-multiplier calculates the ratio between your second-order reach and your direct reach, providing an amplification factor that shows how much your content spreads through others' networks.

What is perspective mapping?

Perspective mapping clusters how different segments of a network perceive a specific user, identifying valued traits and perceived roles based on interaction sentiment and learning outcomes.

Does this skill work with live social media data?

Yes, it is designed to integrate with data sources like atproto-ingest to analyze live interactions and propagation patterns within the AT Protocol ecosystem.

Influence Propagation

Name: Influence Propagation
Author: plurigrid

byplurigrid

•

데이터 과학 및 ML

Analyzes social network dynamics to trace idea adoption, influence flow, and interperspectival relationships.

소개

Influence Propagation is a specialized tool for interperspectival network analysis that enables developers and researchers to track how topics and behaviors spread through complex social graphs. By leveraging second-order network analysis and reach multipliers, it quantifies the impact of specific users and content, offering deep insights into idea adoption rates, clustering coefficients, and consensus building. It is particularly useful for understanding decentralized social dynamics and mapping the flow of knowledge within a community.

주요 기능

Calculate reach multipliers to measure the amplification factor of specific influencers
Track idea adoption and decay through multi-layered social networks
2 GitHub stars
Map topic propagation trees to visualize information spread and velocity
Generate perspective maps to identify how different network members perceive a central entity
Perform second-order network analysis to discover connections beyond direct followers

사용 사례

Identifying bridge-builders and key amplifiers within decentralized networks like AT Protocol
Mapping the sentiment and perceived roles of key contributors in open-source projects
Analyzing the viral potential and spread of technical concepts within developer communities

소개

주요 기능

Calculate reach multipliers to measure the amplification factor of specific influencers
Track idea adoption and decay through multi-layered social networks
2 GitHub stars
Map topic propagation trees to visualize information spread and velocity
Generate perspective maps to identify how different network members perceive a central entity
Perform second-order network analysis to discover connections beyond direct followers

사용 사례

Identifying bridge-builders and key amplifiers within decentralized networks like AT Protocol
Mapping the sentiment and perceived roles of key contributors in open-source projects
Analyzing the viral potential and spread of technical concepts within developer communities