Title :
Visual Analysis of Dynamic Networks with Geological Clustering
Author :
Ahmed, Adel ; Fu, Xiaoyan ; Hong, Seok-Hee ; Nguyen, Quan Hoang ; Xu, Kai
fDate :
Oct. 30 2007-Nov. 1 2007
Abstract :
Many dynamic networks have associated geological information. Here we present two complementing visual analysis methods for such networks. The first one provides an overview with summerized information while the second one presents a more detailed view. The geological information is encoded in the network layout, which is designed to help maintain user\´s mental map. We also combined visualization with social network analysis to facilitate knowledge discovery, especially to understand network changes in the context overall evolution. Both methods are applied to the "History of the FIFA World Cup Competition" data set.
Keywords :
data mining; data visualisation; associated geological information; dynamic networks; geological clustering; knowledge discovery; network layout; social network analysis; visual analysis; Australia; Computer networks; Data visualization; Geology; History; Information analysis; Information technology; Performance analysis; Social network services; Visual analytics; Centrality; Clustering; Dynamic Network; Hierarchy; Network Visualization; Temporal Network; Visual Analytics;
Conference_Titel :
Visual Analytics Science and Technology, 2007. VAST 2007. IEEE Symposium on
Conference_Location :
Sacramento, CA
Print_ISBN :
978-1-4244-1659-2
DOI :
10.1109/VAST.2007.4389027