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Special Session on Foundations and Applications of Social Media Analysis (FASOMA 2017)


Organized as part of ARS 2017.


www.ars17.unisa.it, 16-17 May, Naples, italy

Call for Extended Abstracts


  • Tansel Ozyer, TOBB University, Turkey,
  • Keivan Kianmehr, Oracle Inc., Canada,
  • Mehmet Kaya, Firat University, Turkey
  • Reda Alhajj, University of Calgary, Canada

Submission deadline February 17, 2017 11:59 PM (UTC-07)(Firm)

Social media platforms have emerged as attractive means of virtual communication where people have equal opportunity to grasp and contribute content to be widely shared and consumed. The result is a huge flow of data which could be captured and processed for valuable knowledge discovery to serve a variety of organizations, groups and individuals. In fact, development in technology has made available a variety of devices which facilitate more virtual communication on the go. Whether intentionally or un intentionally, anyone with a mobile device leaves a trace of his/her location, behavior, preferences, opinion, etc. Trace left and communicated information may form a valuable source from which various agencies and authorities may benefit. This is possible by utilizing appropriate social media analysis measures and techniques. Many tools have been developed to help in social media analysis. However, always there is need for new techniques and strategies to serve emerging domains and to handle new trends, especially in the dynamic and big data era. The purpose of this special session at ARS 2017 is to bring together researchers and practitioners interested in social media analysis to discuss developments in foundations and needs of various applications. Authors may submit contributions which describe developing new algorithms or using/adapting existing algorithms to serve various applicati ons.

Topics of interest include, but not limited to:

  • Application driven pattern recognition and modeling for counterterrorism, stock market, healthcare, etc
  • Application driven social media analysis for counterterrorism, stock market, healthcare, etc.
  • Combining data from multiple social media platforms
  • Data collection from social media platforms
  • Influence, relevance, diffusion,and opinion shaping in social media era
  • Marketingand advertising in social media era
  • Monitoring and highlighting misuse of social media
  • Multiple perspectives based analysis
  • Negative and positive aspects of social media
  • Prediction techniques based on social media analysis
  • Recommendation systems and personalized search
  • Scalable techniques for big data analysis
  • Social sensors
  • Spatial-temporal analysis
  • Stream capturing and trend analysis
  • Tools for application driven social media analysis


Authors are encouraged to submit a 2-pages extended abstract before the submission due date.
Submissions should be in PDF and should include the title, author(s), affiliation(s)

To submit an abstract follow the abstract submission system: http://www.ars17.unisa.it/submission

Authors should describe clearly the problem they are tackling, the methodology used and some text results and contributions expected to be shared with audience during the symposium.

Submitting an abstract implies one of the authors must register and attend the session to present the work.

Send also your extended abstract as attachment by email to <fasoman2017(at) gmail(dot) com>, the subject of your email should be FASOMA 2017 submission.

Participants will also enjoy free access to all events organized under ARS 2017.

Authors are expected to submit a revised full paper of up to 25 pages in Springer Lecture Notes in Social Networks format for post symposium publication.

Important Dates

  • Submission deadline: February17, 2017 11:59 PM (UTC-07)(Firm)
  • Notification of acceptance: March 24, 2017
  • A revised version: May 2, 2017 (this version of the abstract is to be shared with participants)
  • Session date: May16-17, 2017