MobiVis: A visualization system for exploring mobile data

Zeqian Shen, Kwan-Liu Ma

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

55 Scopus citations


The widespread use of mobile devices brings opportunities to capture large-scale, continuous information about human behavior. Mobile data has tremendous value, leading to business opportunities, market strategies, security concerns, etc. Visual analytics systems that support interactive exploration and discovery are needed to extracting insight from the data. However, visual analysis of complex social-spatial-temporal mobile data presents several challenges. We have created MobiVis, a visual analytics tool, which incorporates the idea of presenting social and spatial information in one heterogeneous network. The system supports temporal and semantic filtering through an interactive time chart and ontology graph, respectively, such that data subsets of interest can be isolated for close-up investigation. "Behavior rings," a compact radial representation of individual and group behaviors, is introduced to allow easy comparison of behavior patterns. We demonstrate the capability of MobiVis with the results obtained from analyzing the MIT Reality Mining dataset.

Original languageEnglish (US)
Title of host publicationIEEE Pacific Visualisation Symposium 2008, PacificVis - Proceedings
Number of pages8
StatePublished - Aug 25 2008
Event2008 Pacific Visualization Symposium, PacificVis 2008 - Kyoto, Japan
Duration: Mar 4 2008Mar 7 2008


Other2008 Pacific Visualization Symposium, PacificVis 2008


  • Information visualization
  • Mobile data
  • Social-spatial-temporal data visualization
  • Visual analytics

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Hardware and Architecture
  • Software


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