Joint localization of events and sources in social networks

Prasanna Giridhar, Shiguang Wang, Tarek F. Abdelzaher, Jemin George, Lance Kaplan, Raghu Ganti

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

Abstract

Recent sensor network literature investigated the use of social networks as sensor networks, and formulated a physical event localization problem from social network data. This paper improves on the above results by formulating a joint localization problem of events and sources, leveraging the fact that sources on social networks often have a location affinity: They tend to comment more on events in their locations of interest. While social networks, such as Twitter, do not offer source location information for the majority of sources, we show that our algorithms for jointly inferring source and event location significantly improve localization quality by mutually enhancing location estimation of both events and sources. We evaluate the performance of our algorithm both in simulation and using Twitter data about current events. The results show that joint inference of source and event location allows us to localize many more of the events identified in real-world datasets.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages179-188
Number of pages10
ISBN (Electronic)9781479988563
DOIs
StatePublished - Jul 22 2015
Event11th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015 - Fortaleza, Brazil
Duration: Jun 10 2015Jun 12 2015

Publication series

NameProceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015

Other

Other11th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015
CountryBrazil
CityFortaleza
Period6/10/156/12/15

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Joint localization of events and sources in social networks'. Together they form a unique fingerprint.

  • Cite this

    Giridhar, P., Wang, S., Abdelzaher, T. F., George, J., Kaplan, L., & Ganti, R. (2015). Joint localization of events and sources in social networks. In Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015 (pp. 179-188). [7165036] (Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DCOSS.2015.14