Abstract
Online social networks are still growing rapidly. Besides their social characteristics these networks have their own specific features at the system level.
Techniques of information retrieval, databases, preference modeling, graph theory, etc. are integrated there and adapted into dynamic environment with high scalability. International Workshop on Computational Social Networks will be focused on the foundations of social networks as well as case studies, empirical, and other methodological works related to the computational tools for the automatic discovery of Web-based social networks.
This workshop provides an opportunity to compare and contrast the ethological approach to social behavior in animals (including the study of animal tracks and learning by members of the same species) with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. The main topics cover the design and use of various computational intelligence tools and software, simulations of social networks, representation and analysis of social networks, use of semantic networks in the design and community-based research issues such as knowledge discovery, privacy and protection, and visualization.