Cell phone mini challenge award: Intuitive social network graphs visual analytics of cell phone data using MobiVis and OntoVis

Carlos D. Correa, Tarik Crnovrsanin, Christopher Muelder, Zeqian Shen, Ryan Armstrong, James Shearer, Kwan-Liu Ma

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

5 Scopus citations

Abstract

MobiVis is a visual analytics tools to aid in the process of processing and understanding complex relational data, such as social networks. At the core of these tools is the ability to filter complex networks structurally and semantically, which helps us discover clusters and patterns in the organization of social networks. Semantic filtering is obtained via an ontology graph, based on another visual analytics tool, called OntoVis. In this summary, we describe how these tools where used to analyze one of the mini-challenges of the 2008 VAST challenge.

Original languageEnglish (US)
Title of host publicationVAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings
Pages211-212
Number of pages2
DOIs
Publication statusPublished - Dec 1 2008
EventIEEE Symposium on Visual Analytics Science and Technology, VAST'08 - Columbus, OH, United States
Duration: Oct 21 2008Oct 23 2008

Other

OtherIEEE Symposium on Visual Analytics Science and Technology, VAST'08
CountryUnited States
CityColumbus, OH
Period10/21/0810/23/08

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Keywords

  • Heterogeneous graph visualization
  • Visual analytics

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

Cite this

Correa, C. D., Crnovrsanin, T., Muelder, C., Shen, Z., Armstrong, R., Shearer, J., & Ma, K-L. (2008). Cell phone mini challenge award: Intuitive social network graphs visual analytics of cell phone data using MobiVis and OntoVis. In VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings (pp. 211-212). [4677391] https://doi.org/10.1109/VAST.2008.4677391