TOSI: A trust oriented social influence evaluation method in contextual social networks
Online Social Networks (OSNs) have been used as the means for a variety of applications. For example, social networking platform has been used in employment system, e Commerce and CRM system to improve the quality of recommendations with the assistance of social networks. In these applications, social influence acts as a significant role, affecting people's decision making. However, the existing social influence evaluation methods do not fully consider the social contexts, i.e. the social relationships and the social trust between participants, and the preferences of participants, which have significant impact on social influence evaluation in OSNs. Thus, these existing methods cannot deliver accurate social influence evaluation results. In our paper, we propose a Trust Oriented Social Influence evaluation method, called TOSI, with taking the social contexts into account. We conduct experiments onto two real social network datasets, i.e. Epinions and DBLP. The experimental results illustrate that our TOSI method greatly outperforms the state of the art method SoCap in terms of effectiveness, efficiency and robustness.
Neurocomputing