… develops a trust-similarity analysis (TSA)-based clustering method to manage the clustering
operation in LSGDM events under a social network context. First, the trust-similarity matrix is …

… trust and profile similarity. We … trust, they are capturing many facets of similarity with other
users. We begin by presenting a definition of trust and related work on similarity, trust, and trust …

… on trust in online social networks and have presented the result of the survey on the relationship
between trust and interest similarity… between the trust and interest similarity of the users. …

… Hence, this study follows one type of social network – namely, a trust network – in which
users explicitly express their opinions, such as trusting someone “very much” or “more or less”, …

… connections, we consider both user importance and user similarity to build the social trust
model between users. We use Vector Space Similarity (VSS) [7] and Pearson Correlation …

… of trust prediction in social networks. We report experiments conducted on a publicly available
social network … The results indicate that i) it is possible to predict trust to some extent, but …

… In many situations, trust is the most important factor that determines the social dynamics of …
of trust in a social network and to develop cognitive models describing the trust dynamics. This …

… establish a rich network of trust, which is, in … social linking and CF technology: a new
generation of trust-based recommender systems, which will use self-defined social networks of trust …

… , we consider a sparse n × n trust rating matrix T for users. Since the social network with
trust rating is changing with time, if we consider the trust data in recent time and divide the time …

… Although a lot of concepts and notions have been introduced, such as trust statement,
trust sociomatrix, and trust social network in SNA, there are limited studies that focus on the …