Most Effective Users in Twitter Online Social Network

In this book, we considered the issue of determination of the most effective user in the twitter online social network. We worked on a social network graph which have relationships (edges) between users who posted a tweet and other users who re-posted it. In other words, we assume that there is a relationship between User- X and User-Y when User-X posted a tweet and User-Y re-posted it. In Social Network Analysis (SNA), there are four fundamental centrality measures such as Degree Centrality, Closeness Centrality, Betweenness Centrality, and Eigenvector Centralities. We developed a new approach for determining the most effective user in Twitter online social network by using an index which named E-User (Effective User) Index. Through this index, we think that we are able to obtain more realistic results in SNA for Twitter. We designed a small weighted and directed social network graph by using a simulated data and used it for determining the most effective user in this study.