Exclusiveness Centrality: A Novel Centrality Measure to Find Behavioral Influencers on Twitter

The measures to evaluate users' influence on social networking have driven considerable attention. Because of the complexity of modern social media circumstance, traditional centrality measures may sometimes fail to reveal the underlying structure of modern social networking service. In this paper, we propose a novel way to measure the influence on Twitter: Exclusiveness Centrality. We studied the behaviors of retweeting and following, delved into the value of each nodes for individual tweets, with the help of complete retweeting paths, we should gain some innovative insights by applying Exclusiveness Centrality to real-life data. The result shows that we have successfully found influential users in different domains.