CSoNet 2016 - 5th International Conference on Computational Social Networks

In the last decade, there has been an explosive growth of research on practical complex networks, a theme that is becoming pervasive in many disciplines, ranging from mathematics and computer science to the social and biological sciences. Typical structures in reality include internet topologies, web graphs, peer-to-peer networks, biological networks, economic networks and most commonly social networks. A lot of research efforts have been made recently towards a deep understanding of real-world social platforms. Computing in social science, as a result, has 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 conference is to advance and promote the theoretical foundation, mathematical aspects, and applications of social computing.
The 5th International Conference on Computational Social Network (CSoNet 2016) is inherently interdisciplinary as it attempts to integrate across different disciplines such as social science, computer science, networks science, and mathematics in pursuit of a fundamental understanding of computational social networks. The conference welcomes all submissions which focus on common principles, algorithms and tools that govern social network structures/topologies, social interactions, functionalities, security and privacy, network behaviours, information diffusions and influence, social recommendation systems which are applicable to all types of social networks and social media.
Papers are invited on but not limited to the following topics. Suggested special sessions and topics are also welcome.
The scope of the conference includes (but is not limited to) the following topics:
Real-world complex networks
Social network design and architecture
Mathematical modeling and analysis of real-world social platforms
Information retrieval in social contexts, political analysts
Community structure detection and analysis
Network structure analysis and dynamics optimization
Information diffusion models and techniques
Complex network analysis, structure robustness and vulnerability
Security and privacy in online social networks
Efficient algorithms for social computing
Social trends and network behaviors
Reputation and trust issues in social media
Social influence, recommendation and media
Big data analysis on online social networks
Applications of complex social network analysis