A cohesion-based friend-recommendation system
Social network sites have attracted millions of users with the social revolution in Web 2.0. A social network is composed of communities of individuals or organizations that are connected by common interests. In the social network sites, a user can register other users as friends and enjoy communication. In such a scenario, often users face problems in finding their appropriate friends using typical friend-of-friend-recommendation methods. In this paper, we propose a friend-recommendation system based on cohesion. We analyze the cohesive subgroup on an augmented network formed by the physical connection network with the information of common interests and interactions. All the users in a cohesive subgroup should be friends to each other. We validated our idea on a small friend network.
cohesion social network augmented network friend recommendation