Conference Information
CSoNet 2016 : International Conference on Computational Social Network
Submission Date:
2016-04-03 Extended
Notification Date:
Conference Date:
Ho Chi Minh City, Vietnam
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Conference Location
Call For Papers
 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 of the main track or special sessions. Suggested special sessions and topics are also welcome.

The scope of the mani track 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

There are four special sessions as follows:

    NLP@SocialMedia 2016:
    Complex network for sustainability:
    Optimization in Social Network Analysis:
    Privacy in Emerging Social Networks:
Last updated by Dou Sun in 2016-03-26
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