Traditional recommender systems usually ignore the social interactions between users in a social network and assume that users are independent and identically distributed. This assumption hinders the users to have access to personalized recommendations based on their circle of trusted friends. To model the recommender systems more accurately and realistically, we propose a social trust model an...

W study the drivers of the emergence of opinion leaders in a networked community where users establish links to others, indicating their “trust” for the link receiver’s opinion. This leads to the formation of a network, with high in-degree individuals being the opinion leaders. We use a dyad-level proportional hazard model with time-varying covariates to model the growth of this network. To est...

the aim of the present study is to investigate and compare the role of journals with different access models (including print, database, print/database subscriptions) as well as unsubscribed models in meeting the information needs of shiraz university researchers. using a bibliometric method, the communication studies the references used in shiraz university scientific papers indexed by thomson...

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prosite database contains a set of entries corresponding to protein families, which are used to identify the family of a protein from its sequence. although patterns and profiles are developed to be very selective, each may have false positive or negative hits. considering false positives as items that reduce the selectiveness of a pattern, then, the more selective pattern we have, a more accur...

Despite enormous recent efforts in detecting the mechanism of the social relation formation in online social systems, the underlying rules between the common interests and social relations are still under dispute. Do online users befriend others who have similar tastes, or do their tastes become more similar after they become friends? In this paper, we investigate the correlation between online...

Online social networking sites have become popular platforms on which users can link with each other and share information, not only basic rating information but also information such as contexts, social relationships, and item contents. However, as far as we know, no existing works systematically combine diverse types of information to build more accurate recommender systems. In this paper, we...

Reputation systems provide a valuable method to measure the trustworthiness of sellers or the quality of products in an e-commerce environment. Due to their economic importance, reputation systems are subject to many attacks. A common problem are unfair ratings which are used to unfairly increase or decrease the reputation of an entity. Although being of high practical relevance, unfair rating ...