Project of Social Network Analysis on Depp Heard trial
Data collection: scraping of tweets published on the Depp Heard process (12 April to 12 June) using the Twint library and creation of the network
Network analysis:
- Analysis of the created network and comparison with synthetic models (ER, BA, WS, CM networks) in terms of number of nodes and edges, path analysis, clustering coefficient and centrality measures
- Community Discovery: identification of communities in the network using the following community detection algorithms: Label Propagation, Louvain and K-clique.
- Diffusion Models: study of opinion diffusion using the following models: Voter, Majority Rule, Sznajd and Q-Voter
Open Problem: Analysis of the most relevant user sentiments and topics in the most populated communities identified with the Louvain and K-clique algorithms using Sentiment Analysis and Topic Modeling techniques