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ASONAM '16: Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
2016 Proceeding
Publisher:
  • IEEE Press
Conference:
ASONAM '16: Advances in Social Networks Analysis and Mining 2016 Davis California August 18 - 21, 2016
ISBN:
978-1-5090-2846-7
Published:
18 August 2016
Sponsors:
SIGKDD, IEEE-CS\DATC
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Abstract

The ASONAM conference series bring together researchers from around the world to share the latest advances in the emerging and attractive field of Social Networks Analysis and Mining.

SESSION: Applications
research-article
Web user profiling using data redundancy
Pages 358–365

The study of Web user profiling can be traced back to 30 years ago, with the goal of extracting "semantic"-based user profile attributes from the unstructured Web. Despite slight differences, the general method is to first identify relevant pages of a ...

research-article
Can I foresee the success of my meetup group?
Pages 366–373

1Success of Meetup groups is of utmost importance for the members who organize them. Given a wide variety of such groups, a single metric may not be indicative of success for different groups; rather, success measure should be specific to the interest ...

research-article
Subconscious crowdsourcing: a feasible data collection mechanism for mental disorder detection on social media
Pages 374–379

Mental disorders are currently affecting millions of people from different cultures, age groups and geographic regions. The challenge of mental disorders is that they are difficult to detect on suffering patients, thus presenting an alarming number of ...

research-article
An analysis of student behavior in two massive open online courses
Pages 380–385

Massive open online courses (MOOCs) have high potential for improving education worldwide, but understanding of student behavior and situations is difficult to achieve in online settings. Network analytics and visualizations can assist instructors with ...

research-article
Personality homophily and the local network characteristics of Facebook
Pages 386–393

Social networks are known to form on the basis of homophily, where nodes with some type of similar characteristics are more likely to be connected. Some of the most fundamental human characteristics are reflected by an individual's personality, which ...

Contributors
  • Dartmouth College
  • University of Calgary
  • Google LLC
  • Texas A&M University
  • University of Illinois Urbana-Champaign

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  1. Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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        Acceptance Rates

        Overall Acceptance Rate 116 of 549 submissions, 21%
        YearSubmittedAcceptedRate
        ASONAM '231455337%
        ASONAM '211182219%
        ASONAM '192864114%
        Overall54911621%