Development of Novel Model for Trustable Users Recommendation in OSN
A Computational Model for Identifying Trustable Users in Online Social Network
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The vastness of social media ensures that there is no control on the scope of information. Such situations pose a major challenge of trust and security. When the trustworthiness is considered, Social Network (SN) category proves a major risk in social media. The proposed study concentrates on "Social Networks", the challenges faced and suggest a method to evaluate the trust of the user on the social network. Trusted similar user is recommended to alters of the ego user who is receiving friend request from another alter or to raise the friend request towards the trusted similar user. The recomm...
The vastness of social media ensures that there is no control on the scope of information. Such situations pose a major challenge of trust and security. When the trustworthiness is considered, Social Network (SN) category proves a major risk in social media. The proposed study concentrates on "Social Networks", the challenges faced and suggest a method to evaluate the trust of the user on the social network. Trusted similar user is recommended to alters of the ego user who is receiving friend request from another alter or to raise the friend request towards the trusted similar user. The recommended trust is computed using SDE based reputation model and topic modeling with LDA. Hybrid recommendation technique is implemented using CANOPY clustering which evolves various groups of trusted similar users. Each group is evaluated for its quality and the users within the group are recommended for friend request. Effective performance of the recommendation system is evaluated.
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