Social Fusion: Integrating Twitter and Instagram for Event Monitoring

Prasanna Giridhar, Shiguang Wang, Tarek Abdelzaher, Tanvir Al Amin, Lance Kaplan

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

Abstract

This paper describes the implementation of a service to identify and geo-locate real world events that may be present as social activity signals in two different social networks. Specifically, we focus on content shared by users on Twitter and Instagram in order to design a system capable of fusing data across multiple networks. Past work has demonstrated that it is indeed possible to detect physical events using various social network platforms. However, many of these signals need corroboration in order to handle events that lack proper support within a single network. We leverage this insight to design an unsupervised approach that can correlate event signals across multiple social networks. Our algorithm can detect events and identify the location of the event occurrence. We evaluate our algorithm using both simulations and real world datasets collected using Twitter and Instagram. The results indicate that our algorithm significantly improves false positive elimination and attains high precision compared to baseline methods on real world datasets.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE International Conference on Autonomic Computing, ICAC 2017
EditorsXiaorui Wang, Hui Lei, Christopher Stewart
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-10
Number of pages10
ISBN (Electronic)9781538617618
DOIs
StatePublished - Aug 8 2017
Event14th IEEE International Conference on Autonomic Computing, ICAC 2017 - Columbus, United States
Duration: Jul 17 2017Jul 21 2017

Publication series

NameProceedings - 2017 IEEE International Conference on Autonomic Computing, ICAC 2017

Other

Other14th IEEE International Conference on Autonomic Computing, ICAC 2017
CountryUnited States
CityColumbus
Period7/17/177/21/17

Keywords

  • Event Tracking
  • Localization
  • Social Sensing

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence

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  • Cite this

    Giridhar, P., Wang, S., Abdelzaher, T., Amin, T. A., & Kaplan, L. (2017). Social Fusion: Integrating Twitter and Instagram for Event Monitoring. In X. Wang, H. Lei, & C. Stewart (Eds.), Proceedings - 2017 IEEE International Conference on Autonomic Computing, ICAC 2017 (pp. 1-10). [8005321] (Proceedings - 2017 IEEE International Conference on Autonomic Computing, ICAC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAC.2017.46