Identifying Key Influencers on X: A Network Analysis of User Behavior through Social Relationships

Authors- Assistant Professor Fereidoon Bidollahkhany, Assistant Professor Mehdi Basiri

Abstract-In the contemporary digital landscape, users engage extensively with these platforms. The significance of these networks and their profound impact on users has prompted in-depth analyses in this dynamic field. Such investigations are essential to harness the potential of this domain for enhancing user services. Within social networks, individuals are deeply influenced by their peers, driving researchers to identify influential figures within the X platform for the extraction of user behavior patterns. To determine influential users, our study used a variety of X network relationships for comprehensive network analysis. Employing indicators from social network analysis, we determined the impact coefficient for each relationship model. Subsequently, we established the hierarchy of these relationship models. Our research findings emphasize the importance of retweeting among the four interactive relationship types: retweeting, pointing, answering, and following. Retweeting plays a greater role in shaping the communication graph and effectiveness compared to pointing, answering, and following.

DOI: /10.61463/ijset.vol.12.issue4.218