This study explores a nested representation of ethical, moral, social identity, motivated, opportunistic and reciprocal agent preferences to characterize screening contracts in a principal–agent model under adverse selection. This leads to a ranking of the type of social preferences that principals should seek in agents, based upon the information rents associated with each agent type. When mor...

In this paper, we empirically analyze the effects of social relations on the recommendation of mobile applications in a community of students at a university. We identify three social relations by questionnaires and two relations by students properties, and examine their effects from a wide variety of perspectives in the framework of top-N recommendation by user and item based collaborative fil...

Web opinions are available for the social sites due to the advancement in the technology. The web opinion acts as an interface between the internet users and web. It allows internet users to communicate and express their opinions. But analyzing and clustering of the web opinion is a challenging task. The clustering of the typical document differs from clustering of the web opinion. The web opin...

Social recommender systems provide users with a list of recommended items by exploiting knowledge from social content. Representation, similarity and ranking algorithms from the Case-Based Reasoning (CBR) community have naturally made a significant contribution to social recommender systems research [1, 2]. Recent works in social recommender systems have been focused on learning implicit prefer...

Actively granting food to a companion is called pro-social behavior and is considered to be part of altruism. Recent findings show that some non-human primates behave pro-socially. However, pro-social behavior is not expected in despotic species, since the steep dominance hierarchy will hamper pro-sociality. We show that some despotic long-tailed macaques do grant others access to food. Moreove...

Many popular measures used in social network analysis, including centrality, are based on the random walk. The random walk is a model of a stochastic process where a node interacts with one other node at a time. However, the random walk may not be appropriate for modeling social phenomena, including epidemics and information diffusion, in which one node may interact with many others at the same...