MODELING USER’S INTERESTS, SIMILARITY AND TRUSTWORTHINESS BASED ON VECTORS OF ENTRIES IN SOCIAL NETWORKS
The purpose of this paper is ﬁrst to present vectorial representations of user’s entries and interests in topics in social networks. Based on such vectorization of short texts, we propose three interest measures of users. And then we investigate the relationships among interest degrees, similarity and trustworthiness of users based on these measures. Some preliminary studies on these correlations are exhibited.