Semantic geolocation friend recommendation system; LinkedIn user case

The popularity and the success of every social network at the current information era lies on how strong the ties among the virtual community members are made. In turn, strong ties requires ever closer the members in terms of specific characteristics the social network is described. This paper introduces a recommender system for determining candidate connections with the highest potential of being new connections to a social network user. The proposed system investigates LinkedIn network and introduces a solution with further parameters as location information.