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 International Conference on Computational Social Network (CSoNet) provides a premier interdisciplinary forum to bring together researchers and practitioners from all fields of social networks such as network computing, social network/media analysis and mining for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. CSoNet seeks to address emerging yet important computational problems with a focus on the fundamental background, theoretical technology development, and real-world applications associated with social network analysis, modelling and data mining. The conference welcomes all submissions with focus on common principles, algorithms and tools that govern social network structures/topologies, network 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.

The topics of interest include (but are not limited to) the following:

  • 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

The proceedings of CSoNet will be published by Springer in series Lecture Notes in Computer Science (LNCS) and will be distributed at the conference. Selected papers can be invited to publish in special issues of Journal of Combinatorial Optimization (ISI) and Computational Social Networks (Springer).

Steering Committee:

Current CSoNet:

CSoNet 2017 will be held in Hong Kong, China from August 3-5, 2017.

Previous CSoNet