Title :
Cell phone mini challenge award: Intuitive social network graphs visual analytics of cell phone data using mobivis and ontovis
Author :
Correa, Carlos D. ; Crnovrsanin, Tarik ; Muelder, Chris ; Zeqian Shen ; Armstrong, Rob ; Shearer, Janine ; Kwan-Liu Ma
Author_Institution :
Visualization & Interface Design Innovation Group, Univ. of California, Davis, CA
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.
Keywords :
cellular radio; graph theory; mobile computing; ontologies (artificial intelligence); social networking (online); 2008 VAST challenge; MobiVis; OntoVis; cell phone data; cell phone mini challenge award; intuitive social network graphs; ontology graph; semantic filtering; visual analytics; Visual analytics; Heterogeneous Graph Visualization; I.3.6 [Methodology and Techniques]—Interaction Techniques; Visual Analytics;
Conference_Titel :
Visual Analytics Science and Technology, 2008. VAST '08. IEEE Symposium on
Conference_Location :
Columbus, OH
Print_ISBN :
978-1-4244-2935-6
DOI :
10.1109/VAST.2008.4677391