GeoHashViz: Interactive analytics for mapping spatiotemporal diffusion of twitter hashtags

Kiumars Soltani, Aditya Parameswaran, Shaowen Wang

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

Abstract

Since its birth in 2006, Twitter has evolved to a multi- purpose social media that attracts hundreds of millions of users to share their activities and ideas on a daily basis. The potential of capturing fine-grained activity log of users, combined with ever increasing geographical information derived from GPS-enabled devices, has made Twitter data a valuable source for spatiotemporal analysis of human activities. One of the early innovations of Twitter is the use of hash- Tag as a unique tagging mechanism to provide additional information about a user post. From its emergence in late 2007, hashtags have been used extensively to express ideas, group tweets and report events among Twitter users. The increasing popularity of hashtags, in addition to their simple and concise structure, has inspired multiple recent studies to propose hashtag as a medium to assess diffusion of ideas in a virtual world. Studying collective eFFort of users in making a hashtag go viral can shed light on the complex process of idea diffusion that involves psychological, sociological and geographical elements.

Original languageEnglish (US)
Title of host publicationProceedings of the XSEDE 2015 Conference
Subtitle of host publicationScientific Advancements Enabled by Enhanced Cyberinfrastructure
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450337205
DOIs
StatePublished - Jul 26 2015
Event4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015 - St. Louis, United States
Duration: Jul 26 2015Jul 30 2015

Publication series

NameACM International Conference Proceeding Series
Volume2015-July

Other

Other4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015
CountryUnited States
CitySt. Louis
Period7/26/157/30/15

Keywords

  • Cybergis
  • Geohashviz
  • Hadoop
  • Interactive visualization
  • Social media

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Soltani, K., Parameswaran, A., & Wang, S. (2015). GeoHashViz: Interactive analytics for mapping spatiotemporal diffusion of twitter hashtags. In Proceedings of the XSEDE 2015 Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure [a37] (ACM International Conference Proceeding Series; Vol. 2015-July). Association for Computing Machinery. https://doi.org/10.1145/1235