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

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

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

12 Scopus citations

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 (US)
Title of host publication22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014
EditorsMarkus Schneider, Michael Gertz, Yan Huang, Jagan Sankaranarayanan, John Krumm
PublisherAssociation for Computing Machinery
Pages537-540
Number of pages4
ISBN (Electronic)9781450331319
DOIs
StatePublished - Nov 4 2014
Event22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014 - Dallas, United States
Duration: Nov 4 2014Nov 7 2014

Publication series

NameGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
Volume04-07-November-2014

Other

Other22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014
CountryUnited States
CityDallas
Period11/4/1411/7/14

Keywords

  • Categorical Attributes
  • Microblogs
  • Visualization

Fingerprint Dive into the research topics of 'VisCAT: Spatio-temporal visualization and aggregation of categorical attributes in twitter data'. Together they form a unique fingerprint.

Cite this