this paper attempts to rank the effective factors in making trust in social networks to provide the possibility of attracting and increasing users’ trust on these social networks for providers and designers of online social networks. identifying the effective factors in making trust in social networks is a multi-criteria decision making problem and most of effective factors are ambiguous and un...

Online social networks (OSNs) have become the main medium for connecting people, sharing knowledge and information, and for communication. The social connections between people using these OSNs are formed as virtual links (e.g., friendship and following connections) that connect people. These links are the heart of today’s OSNs as they facilitate all of the activities that the members of a soci...

In this paper, we propose an approach to locating queryoriented experts in Microblog. We first define the experts by social influence and content relevance. Then, we adopt the BM25 model to calculate the content relevance of each account. For the social influence, we present a global-ranking algorithm as GUserRank and a topic-ranking algorithm as TUserRank after applying the LDA topic model. Af...

Do bad role models exonerate others’ unethical behavior? Based on social learning theory and psychological theories of blame, we predicted that unethical behavior by higher-ranking individuals changes how people respond to lower-ranking individuals who subsequently commit the same transgression. Five studies explored when and why this rank-dependent imitation effect occurs. Across all five stud...

Online social media systems (such as YouTube or Reddit) provide commenting features to support augmentation of social objects (e.g. video clips or news articles). Unfortunately, many comments are not useful due to the varying intentions of the authors of comments as well as the perspectives of the readers. In this paper, we present, a framework and Web-based system for adaptive faceted ranking ...

I this paper, we study the effects of three different kinds of search engine rankings on consumer behavior and search engine revenues: direct ranking effect, interaction effect between ranking and product ratings, and personalized ranking effect. We combine a hierarchical Bayesian model estimated on approximately one million online sessions from Travelocity, together with randomized experiments...

Due to the data sparsity problem, social network information is often additionally used to improve the performance of recommender systems. While most existing works exploit social information to reduce the rating prediction error , e.g., RMSE, a few had aimed to improve the top-k ranking prediction accuracy . This paper proposes a novel top-k ranking oriented recommendation method, TRecSo , whi...

The Pigou-Dalton principle demands that a regressive transfer decreases social welfare. In the unidimensional setting this principle is consistent, because regressivity in terms of attribute amounts and regressivity in terms of individual well-being coincide in the case of a single attribute. In the multidimensional setting, however, the relationship between the various attributes and well-bein...

Knowledge-based communities are popular Web-based tools that allow members to share and seek knowledge globally. However, research on how to search effectively within such knowledge repositories is scant. In this paper we study the problem of finding authoritative documents for user queries within a knowledge-based community. Unlike prior research on the ranking function design which considers ...