Scalable social analytics for live viral event prediction

Puneet Jain, Justin Manweiler, Arup Acharya, Romit Roy Choudhury

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Large-scale, predictive social analytics have proven effective. Over the last decade, research and industrial efforts have understood the potential value of inferences based on online behavior analysis, sentiment mining, influence analysis, epidemic spread, etc. The majority of these efforts, however, are not yet designed with realtime responsiveness as a first-order requirement. Typical systems perform a post-mortem analysis on volumes of historical data and validate their "predictions" against already-occurred events.We observe that in many applications, real-time predictions are critical and delays of hours (and even minutes) can reduce their utility. As examples: political campaigns could react very quickly to a scandal spreading on Facebook; content distribution networks (CDNs) could prefetch videos that are predicted to soon go viral; online advertisement campaigns can be corrected to enhance consumer reception.

Original languageEnglish (US)
Title of host publicationProceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014
PublisherThe AAAI Press
Pages226-235
Number of pages10
ISBN (Electronic)9781577356578
StatePublished - Jan 1 2014
Event8th International Conference on Weblogs and Social Media, ICWSM 2014 - Ann Arbor, United States
Duration: Jun 1 2014Jun 4 2014

Publication series

NameProceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014

Other

Other8th International Conference on Weblogs and Social Media, ICWSM 2014
CountryUnited States
CityAnn Arbor
Period6/1/146/4/14

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Jain, P., Manweiler, J., Acharya, A., & Roy Choudhury, R. (2014). Scalable social analytics for live viral event prediction. In Proceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014 (pp. 226-235). (Proceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014). The AAAI Press.