Finding Topic-Aware Intimate Online Social Groups

Individuals in online social networks seek and share information with other social users having similar topical interests or choices which results in the formation of online social groups or communities. Existing approaches considered the social users' interests and structural property of the social network to find online social groups. However, most approaches ignored the degree of intimacy among the users resulting in less interactive social groups. Many business companies require interactive expert consumers for advertising their marketing information. In this paper, we propose a model to discover topic-aware intimate online social groups in which group members are highly interactive with others in the group. The performance of our proposed approach is demonstrated by conducting experiments on dataset.