The study of social networks originated in social and business communities. In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social Web sites, email logs, phone logs and instant messaging systems, which are widely analyzed using graph theory and machine learning techniques. People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising prominence of SNAM in academia, politics, homeland security and business. This follows the pattern of known entities of our society that have evolved into networks in which actors are increasingly dependent on their structural embedding.

The international conference on Advances in Social Network Analysis and Mining (ASONAM 2017) will primarily provide an interdisciplinary venue that will bring together practitioners and researchers from a variety of SNAM fields to promote collaborations and exchange of ideas and practices. ASONAM 2017 is intended to address important aspects with a specific focus on the emerging trends and industry needs associated with social networking analysis and mining. The conference solicits experimental and theoretical works on social network analysis and mining along with their application to real life situations.

Full papers will be reviewed and assessed by the program committee and a "Best Paper Award" ceremony will be organized at the banquet.

Call for paper

Important date

Draft paper submission deadline
Draft paper acceptance notification
Final paper submission deadline

Submission Topics

  • Accuracy of network data at scale

  • Analysis of covert networks, Dark Web

  • Anomaly detection in social network evolution

  • Application of social network analysis and mining

  • Community discovery and analysis in large scale online/offline social networks

  • Computational simulations and modeling

  • Crowd sourcing of network data generation and collection

  • Cyber anthropology

  • Data models for social networks and social media

  • Economics of transactions in networks

  • Ethics, privacy and security with network data collection and analysis

  • Evolution of communities/patterns on the Web and in large organizations

  • Impact of social networks on recommendations systems

  • Incorporating social information in query processing and query optimization

  • Influence of cultural aspects on the formation of communities

  • Information acquisition and establishment of social relations

  • Information diffusion

  • Large-scale graph algorithms for social network analysis

  • Migration between communities

  • Misbehavior detection in communities

  • Multi-actor/multiple-relationship networks

  • Network formation and evolution

  • Network visualization

  • Open source intelligence

  • Pattern presentation for end-users and experts

  • Personalization for search and for social interaction

  • Political impact of social network discovery

  • Privacy and security of social networks

  • Scalability of social networking/search algorithms

  • Social and cultural anthropology

  • Social geography and spatial networks

  • Statistical modeling of large networks

  • Trust in networks

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Important Date
  • Conference Date

    Jul 31



    Aug 03


  • Mar 26 2016

    Draft paper submission deadline

  • May 12 2017

    Draft Paper Acceptance Notification

  • Jun 23 2017

    Final Paper Deadline

Sponsored By
IEEE Computer Society
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