CSoNet 2014 - Workshop on Computational Social Networks

In the last decade, there has been an explosive growth of research on complex real-world networks, a theme that is becoming pervasive in many disciplines, ranging from mathematics and computer science to the social and biological sciences. Typical complex networks include internet topologies, web graphs, peer-to-peer networks, social networks, biological networks, and economic networks, to name a few. Empirical studies have shown that these networks, though different in nature, all display substantial non-trivial topological features and, interestingly, share a number of significant properties. A lot of research efforts have thus been made towards a deep understanding of complex networks. Computing in social science has recently become one of the central themes across mathematical science, information and communication technology, which attracts significant interest from researchers in mathematics, computer science, system science, and social science. The objective of this workshop is to advance and promote the theoretical foundation, mathematical aspects, and applications of social computing.
The topics of interest include (but are not limited to) the following:
?Mathematical modeling and analysis
?Real-world complex networks
?Information retrieval in social contexts, political analysts
?Network structure analysis
?Network dynamics optimization
?Complex network robustness and vulnerability
?Information diffusion models and analysis
?Security and privacy
?Searching in complex networks
?Efficient algorithms
Important Dates:
Paper submission due: Feb 20, 2014
Notification of Acceptance: Apr 5, 2014
Camera-ready and Registration deadline: Apr 25, 2014
Steering Committee
My T. Thai , University of Florida
Zhi-Li Zhang, University of Minnesota
Weili Wu, University of Texas - Dallas
PC Co-Chairs
Yingshu Li, Georgia State University
Yu Wang, University of North Carolina at Charlotte