Twitter influential users ranking using Twitter user characteristics

Abstract

Social media sites have experienced an explosion in both the number of users and the amount of
user-contributed content in recent years. There is the need for the solution for information overload in social
media. In this paper, we focus on solving the problem of finding relevant Twitter users to follow and selecting
only popular tweets to post, we have collected information about Twitter users, particularly the number of
influential users who are followers, the number of general followers, and the number of tweets that are
frequently retweeted. Then we used such statistics information to compute the user rankings. In addition,
we also created a Twitter account to automatically post only tweets that have been retweeted many times. Based
on the survey result and using the Spearman’s rank correlation coefficient, the recommended Twitter users
suggested by the system have proven to be popular and pertinent, and the rank order by the proposed system
has a statistical significant degree of similarity with the user survey result.