VisCAT: Spatio-temporal visualization and aggregation of categorical attributes in twitter data

Thanaa M. Ghanem, Amr Magdy, Mashaal Musleh, Sohaib Ghani, Mohamed Mokbel

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

10 Citations (Scopus)

Abstract

In the last few years, Twitter data has become so popular that it is used in a rich set of new applications, e.g., real-time event detection, demographic analysis, and news extraction. As user-generated data, the plethora of Twitter data moti-vates several analysis tasks that make use of activeness of 271+ Million Twitter users. This demonstration presents VisCAT; a tool for aggregating and visualizing categorical attributes in Twitter data. VisCAT outputs visual reports that provide spatial analysis through interactive map-based visualization for categorical attributes-such as tweet lan-guage or source operating system-at different zoom levels. The visual reports are built based on user-selected data in arbitrary spatial and temporal ranges. For this data, Vis-CAT employs a hierarchical spatial data structure to ma-terialize the count of each category at multiple spatial lev-els. We demonstrate VisCAT, using real Twitter dataset. The demonstration includes use cases on tweet language and tweet source attributes in the region of Gulf Arab states, which can be used for deducing thoughtful conclusions on demographics and living levels in local societies.

Original languageEnglish
Title of host publication22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014
PublisherAssociation for Computing Machinery
Pages537-540
Number of pages4
Volume04-07-November-2014
ISBN (Electronic)9781450331319
DOIs
Publication statusPublished - 4 Nov 2014
Externally publishedYes
Event22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014 - Dallas, United States
Duration: 4 Nov 20147 Nov 2014

Other

Other22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014
CountryUnited States
CityDallas
Period4/11/147/11/14

    Fingerprint

Keywords

  • Categorical Attributes
  • Microblogs
  • Visualization

ASJC Scopus subject areas

  • Earth-Surface Processes
  • Computer Science Applications
  • Modelling and Simulation
  • Computer Graphics and Computer-Aided Design
  • Information Systems

Cite this

Ghanem, T. M., Magdy, A., Musleh, M., Ghani, S., & Mokbel, M. (2014). VisCAT: Spatio-temporal visualization and aggregation of categorical attributes in twitter data. In 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014 (Vol. 04-07-November-2014, pp. 537-540). Association for Computing Machinery. https://doi.org/10.1145/2666310.2666363