CSoNet 2014 - 3rd 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: July 24, 2014 (by 11:59 p.m. PST)
Notification of Acceptance: August 21, 2014
Camera-ready and Registration: September 04, 2014
Steering Committee
My T. Thai, University of Florida
Zhi-Li Zhang, University of Minnesota
Weili Wu, University of Texas - Dallas
PC Co-Chairs
My T. Thai, University of Florida
Thang N. Dinh, Virginia Commonwealth University