Analysis of online social network using deep learning for virtual community formation based on user behaviour

Abstract

newline The association of network nodes identifies a new type of network community in Online Social Networks (OSNs). A quotvirtual communityquot describes the modern online social group. Users constituency, social, and professional activities, as well as their virtual interactions, are based on their levels of learning, the decisions they consider, and the ideologies they hold, making Virtual Communities (VCs) possible. In the OSN, identifying user behaviour is essential by analyzing the dynamic communications among the users. The successful prediction of user behaviour is employed to enhance the detection of influencers in the OSN for access control in online groups. Members who spread information and opinions about services, brands and businesses within their OSNs are considered influencers. Detecting suspicious and illegal behaviour in OSNs is a significant issue in OSN analysis.