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The study of social networks originated in the social science, anthropology, and business communities. In recent years, social network research has advanced significantly; the development of advanced techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the internet, the social web, and other large-scale, socio-technical infrastructures, which are widely analyzed using graph theory, statistics, and data mining 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, and community formation and evolution. These trends have led to a rising prominence of SNAM in academia, politics, homeland security, and business.
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 The conference solicits experimental and theoretical works reporting original and unpublished research results on social network analysis and mining along with their application to real life situations. More specialized topics within ASONAM 2017 include, but are not limited to:
To fully embrace the fast-growing and vigorously dynamic trend of social networks and applications, ASONAM 2017 is eager to consider any breakthroughs in social network analysis and mining in the broadest possible sense.
General areas of interest to ASONAM 2017 include information science and mathematics, communication studies, business and organizational studies, sociology, psychology, anthropology, applied linguistics, biology and medicine.
The papers will be reviewed and assessed by the program committee. Full paper manuscripts must be in English with a length of 8 pages using the IEEE two-column template. We solicit also short paper with a maximum length of 4 pages. Submissions should include the title, author(s), affiliation(s), e-mail address(es), and abstract on the first page.
EasyChair submission link: https://easychair.org/co
Papers will be accepted for the conference based on the reviewers' comments on their originality, timeliness, significance, relevance, and clarity of presentation. A Best Paper Award ceremony will be organized at the banquet. If the paper is accepted, the paper will appear in the proceedings of the conference if one author presents the paper at the conference and at least one author registers as a full conference participant.
Accepted and presented papers will be included in the ASONAM 2017 Conference Proceedings and forwarded for inclusion in IEEE Computer Society Digital Library (CSDL), IEEE eXplore, and the ACM Digital Library. The conference proceedings will be submitted for El indexing through INSPEC by the IEEE.
If you have any questions on ASONAM 2017, please send email to asonam2017 (AT) gmail (dot) com.