This document discusses analyzing a network of engagement on social media to identify influential users. It describes filtering the network to only include users with a degree of engagement over 35, then coding the users with the highest betweenness centrality to identify the most influential activist in the network.

1. Network of engagement
based on RT
Colors: Modularity Class

2. Users’s language

3. 3. Filter: >35 Degree
Code actors with highest
Betweenness Centrality
Found the activist with
the highest
Mapping
Actors
Filter: >35 Degree
Coded actors with highest Betweenness Centrality