Visualizing user-defined, discriminative geo-temporal twitter activity

Ingmar Weber, Venkata Rama, Kiran Garimella

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

8 Citations (Scopus)

Abstract

We present a system that visualizes geo-temporal Twitter activity. The distinguishing features our system offers include, (i) a large degree of user freedom in specifying the subset of data to visualize and (ii) a focus on discriminative patterns rather than high volume patterns. Tweets with precise GPS co-ordinates are assigned to geographical cells and grouped by (i) tweet language, (ii) tweet topic, (iii) day of week, and (iv) time of day. The spatial resolutions of the cells is determined in a data-driven manner using quad-trees and recursive splitting. The user can then choose to see data for, say, English tweets on weekend evenings for the topic "party".

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014
PublisherThe AAAI Press
Pages656-657
Number of pages2
ISBN (Print)9781577356578
Publication statusPublished - 1 Jan 2014
Event8th International Conference on Weblogs and Social Media, ICWSM 2014 - Ann Arbor, United States
Duration: 1 Jun 20144 Jun 2014

Other

Other8th International Conference on Weblogs and Social Media, ICWSM 2014
CountryUnited States
CityAnn Arbor
Period1/6/144/6/14

    Fingerprint

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Weber, I., Rama, V., & Garimella, K. (2014). Visualizing user-defined, discriminative geo-temporal twitter activity. In Proceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014 (pp. 656-657). The AAAI Press.