Identifying the Influential User Based on User Interaction Model for Twitter Data

Abstract

In the social network, the user Interaction model is used to measure the interest depending on the interaction behavior between different entities. An entity or node can be people, groups or organizations and the links or edges are shown to represent the relationship between them. Edges are used to identify whether there is communication or social interaction between different users. Based on the user’s interest or activities made in a social group, it is used to identify whether the interaction in the network is active or inactive. Social media is one of the fast-growing, dynamic and unpredictable in detecting future influencers which becomes harder in the social group. The features identified from the user interaction model and thus the potential influencers and current influencers are identified. Incidence matrix is used to identify the interaction behavior between different users in a social group. Thus, the incidence edges play an essential role in the vertex-edge incidence matrix interaction to identify the active and inactive user interactions in a social network. The Fraction of Strongly Influential (FSI) users score is used to evaluate the user interaction model by analyzing the influential user’s interest and thus the top trending user interests are achieved.