An Information Dissemination Influence Model for Mobile Social Network under Multi-Role View

Abstract

Mobile social networks are dominating in our society’s daily life because of fast advancements of information technologies. To further exploit benefits from the ubiquitous service, studying the influence of information dissemination in this kind of social network becomes a necessity. This paper proposes a mobile social network influence model with regard to multiple roles. In the model, the concept of group is adopted to analyze a user’s role in different contexts. Through the introduction of role’s level and group’s relativity, information dissemination can be investigated deeply, and then, with the Floyd-Warshall algorithm, information strength matrix is constructed to study each node’s influence and under-influence indexes in the network, in addition, the comprehensive influence under multi-role view is also expressed distinctly in the fuzzy form. The result of this research will help find out preferable information disseminators as a new business strategy in e-commerce. Furthermore, it is also useful for detecting gossips and controlling its dissemination in social management.