Homophily and Sentiment Analysis for Twitter in Indian Political Issues

This research paper introduces testing data from the 2024 U.S. Presidential election. It contains tweet text, candidate details, party affiliation, and engagement metrics. Next, we analyze and evaluate their political homophily in three scenarios. First, we looked at the unidirectional or reciprocal Twitter follow, mention, and retweet interactions. The second scenario examined multiplex connections, while the third examined friendships with comparable speeches. Our findings revealed homophily among negative users, Trump supporters, and Hillary supporters in all circumstances examined. We also discovered that homophily levels rise when there are reciprocal links, comparable talks, or multiplex linkages.