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 language | English (US) |
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Title of host publication | VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings |
Pages | 211-212 |
Number of pages | 2 |
DOIs | |
State | Published - Dec 1 2008 |
Event | IEEE Symposium on Visual Analytics Science and Technology, VAST'08 - Columbus, OH, United States Duration: Oct 21 2008 → Oct 23 2008 |
Other
Other | IEEE Symposium on Visual Analytics Science and Technology, VAST'08 |
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Country | United States |
City | Columbus, OH |
Period | 10/21/08 → 10/23/08 |
Keywords
- Heterogeneous graph visualization
- Visual analytics
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Human-Computer Interaction
- Software