Real Time Analytics for Measuring User Influence on Twitter

In this paper we analyze and present an important aspect of Twitter platform concerning the Influence of a user. Building on existing work regarding influential users, we propose different Influence Metrics that take into account Twitter analytics as well as the behavior of each User's Followers. Twitter enables users so as to read and send short 140-character messages called "tweets" while helps them understand what is happening in the world. Exceeding 241 million active users, 500 million Tweets and 2.1 billion searches per day, every user and particularly online marketers have an actively informed audience to engage with. The flow of information has been implicitly filtered and annotated with meta-information such as reputation and influence. Social Influence can be described as the power or even the ability of a person to yet influence the thoughts and actions of other users. So, User Influence stands as a value that depends on the interest of the Followers (via Replies, Mentions, Retweets, Favorites). Additionally we look into the potential quantity of Influence these specific Followers have.

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