Social Networks and Systems Theory

Merging Similarity and Trust Based Social Networks to Enhance the Accuracy of Trust-Aware Recommender Systems

In recent years, collaborative filtering (CF) methods are important and widely accepted techniques are available for recommender systems. One of these techniques is user based that produces useful recommendations based on the similarity by the ratings of likeminded users. However, these systems suffer from several inherent shortcomings such as data sparsity and cold start problems. With the dev...

Characteristics of Social Networks in the Theory and the Real World

The development of information and communication technology as one of the most prominent components of the expansion of social networks has revolutionized the quantity, quality, and speed of information flow unprecedentedly. One of the important consequences of the discourse of globalization of communication is the expansion of virtual participatory politics, the politicization of ethnic, racia...

Complexity Theory and Models for Social Networks

Much work in complexity theory employs agent-based models in simulations of systems of multiple agents. Agent interaction follows some standard types of network topologies. My aim is to assess how recent advances in the statistical modeling of social networks may contribute to agent-based modeling traditions, specifically, by providing structural characterizations of a variety of network topolo...

Graph Theory, Social Networks and Counter Terrorism

Social Computing , Social Cognition , Social Networks and Multiagent Systems

Lately, many multi-agent systems (MAS) are designed as multi-modal systems [9, 15, 23, 22, 26, 28, 18]. Moreover, there are different techniques for combining logics, such as products, fibring, fusion, and modalisation, among others [1, 14, 16]. In this paper we focus on the combination of special-purpose logics for building “on demand” MAS. From these engineering point of view, among the most ...