On quality of event localization from social network feeds

Prasanna Giridhar, Tarek Abdelzaher, Jemin George, Lance Kaplan

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

Abstract

Social networks, such as Twitter, carry important information on ongoing events and as such can be viewed as networks of sensors that monitor and report events in the physical world. In this paper, we concern ourselves with the challenge of event localization from Twitter feeds. We explore the quality of information that can be derived either directly or indirectly from microblog entries regarding locations of ongoing events. Contrary to prior work that used Twitter to map regions of large-footprint events, or derived coarse-grained location information, in this paper, we are interested in point-events, such as building fires or car accidents, and aim to pin-point them down to a street address. An algorithm is presented that identifies distinct event signatures in the blogosphere, clusters microblogs based on events they describe, and analyzes the resulting clusters for fine-grained location indicators. An exact event location is then derived by fusing these indicators. To evaluate the quality of derived location information, we use road-traffic-related Twitter feeds from 3 major cities in California and compare automatic event localization within our service to manually obtained ground truth data. Results show a great correspondence between our automatically determined locations and ground-truth.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages75-80
Number of pages6
ISBN (Electronic)9781479984251
DOIs
StatePublished - Jun 24 2015
Event13th IEEE International Conference on Pervasive Computing and Communication, PerCom Workshops 2015 - St. Louis, United States
Duration: Mar 23 2015Mar 27 2015

Publication series

Name2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015

Other

Other13th IEEE International Conference on Pervasive Computing and Communication, PerCom Workshops 2015
CountryUnited States
CitySt. Louis
Period3/23/153/27/15

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction
  • Health(social science)

Cite this

Giridhar, P., Abdelzaher, T., George, J., & Kaplan, L. (2015). On quality of event localization from social network feeds. In 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015 (pp. 75-80). [7133997] (2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PERCOMW.2015.7133997