CompNet/Influence
Twitter and Influence
This project helps you understand who the real influencers are on Twitter, moving beyond simple follower counts. By analyzing raw Twitter data—like tweets and profile information—it extracts key characteristics and builds a profile for each user. It then classifies and ranks users based on their likelihood of having offline influence, providing you with a clearer picture of true impact.
No commits in the last 6 months.
Use this if you need to identify individuals with genuine offline influence based on their Twitter activity, rather than just their online popularity.
Not ideal if you are looking for a simple tool to track basic Twitter metrics or engagement rates without deep user characterization.
Stars
8
Forks
1
Language
Java
License
GPL-3.0
Category
Last pushed
Oct 05, 2024
Commits (30d)
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