Computational Aspects of Social Networks (CASoN)
Important Dates:
Paper submission due:Aug. 15 2012
Notification of paper acceptance:Sep. 15 2012
Final manuscript due:Sep. 30 2012
Registration and full payment due:Sep. 30 2012
Conference date:Nov. 21-23 2012
Conference venue: São Carlos, Brazil.
From the Call for Papers:
The International Conference on Computational Aspects of Social Networks (CASoN 2012) brings together an interdisciplinary venue for social scientists, mathematicians, computer scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of intelligent methods applied to Social Networks, and to discuss the practical challenges encountered and the solutions adopted.
Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. These social network systems are usually characterized by the complex network structures and rich accompanying contextual information. Recent trends also indicate the usage of complex network as a key feature for next generation usage and exploitation of the Web. This international conference on Computational Aspect of Networks is 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 conference 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.
We solicit original research and technical papers not published elsewhere. The papers can be theoretical, practical and application, and cover a broad set of intelligent methods, with particular emphasis on Social Network computing.
One of the more interesting aspects of social network study, at least to me, is the existence of social networks of researchers who are studying social networks. Implies, to me at least, that “subjects” of discussion have their origins in social networks.
Some approaches, I won’t name names, take “subjects” as given and never question their origins. That leads directly to fragile systems/ontologies because change isn’t taken into account.
Clearly saying “stop” is insufficient, else the many attempts to fix some standardized language would have succeeded long ago.
If you know approaches that attempt to allow for change, would appreciate a note.