Online Social Network Internetworking Analysis

摘要: Online social networks (OSNs) contain data about users, their relations, interests and daily activities the great value of this results in ever growing popularity OSNs. There are two types OSNs data, semantic topological. Both can be used to support decision making processes many applications such as information diffusion, viral marketing epidemiology. Social network analysis (OSNA) research is maximize benefits gained from OSNs’ data. This paper provides a comprehensive study OSNA provide analysts with knowledge needed analyse internetworking was found increase wealth analysed by depending on more than one OSN source Paper proposes generic model system that an analyst rely on. Two different sources were identified our efforts thorough OSNs, which User platform Additionally, we propose classification according its models for shed some light into current methodologies. We also highlight metrics parameters use evaluate or topologic user Further, present other compare capabilities whether separate system. To analysts’ awareness available tools they use, overview currently publically datasets simulation identify capable being semantic, topological OSNA, both. The identifies only few includes both (semantic topological) there perform types. Finally scenario shows integration (hybrid data) beneficial.