Because of the complexity actors and relationships between them, social networks are always represented by graphs. This structure makes it possible to analyze effectiveness network for who there. work presents a analysis approach that focused on processing Facebook pages users react posts infer influential people. In our study, we particularly interested in studying page, reactions fans (users)...

A key step for success of marketer is to discover influential users who diffuse information and their followers have interest to this information and increase to diffuse information on social media. They can reduce the cost of advertising, increase sales and maximize diffusion of information.  A key problem is how to precisely identify the most influential users on social networks. In this pape...

The emergence of social media and the enormous growth of social networks have initiated a great amount of research in social influence analysis. In this regard, many approaches take into account only structural information while a few have also incorporated content. In this study we propose a new method to rank users according to their topic-sensitive influence which utilizes a priori informati...

The widespread adoption of Online Social Networks (OSNs), the ever-increasing amount information produced by their users, and corresponding capacity to influence markets, politics, society, have led both industrial academic researchers focus on how such systems could be influenced . While previous work has mainly focused measuring current influential contents, or pages overall OSNs, problem pre...

Who are the influential people in an online social network? The answer to this question depends not only on the structure of the network, but also on details of the dynamic processes occurring on it. We classify these processes as conservative and non-conservative. A random walk on a network is an example of a conservative dynamic process, while information spread is non-conservative. The influ...