Modeling of user’s tweet behavior to enhance profile’s influence

Abstract

The communication among the individuals having commonality in interests has been empowered by the emergence of the social media. Twitter is one of the social media platform used by individuals, activist, politicians, academicians and celebrities and is used for diversified purposes. Despite being a brilliant medium in facilitating the process of communication, Twitter still has a gap in targeting specific people, attracting attention, and increasing the opportunity to get more interaction with the user’s followers. This is due to the nature of the timeline that presents the recent tweets every time the user logins his account. In this situation the many significant tweeters may go un-noticed. In this paper we have addressed this problem by proposing a system that uses a novel method dedicated to discover the appropriate times to tweet based on the analysis of the active followers’ usage behavior. Then, a tool that utilizes this method launches tweets during the time these followers are expected to be active. The tool helps the tweeters to receive the highest percentage of engagement and the proliferation of tweets among their targeted followers by finding the best times to tweet. The results of the experiments show the effectiveness of this system in raising the level of activity and interaction with the user’s tweets.