Abstract
This paper presents a new interactive platform for visual analytics of large networks and graphs. The platform integrates multiple graph layouts, interactive navigations and clustering algorithms into an effective and flexible analytical visual environment for better understanding of the nature of variety of different networks. This could lead to the discovery and revealing of hidden structures and relationships among the network items as well as the attributes associated with particular focused elements. We provide a number of interactive navigation and exploration methods so that it can provide a flexible and controllable way to archive the preferable view for analytics. We are extending our visual analytics platform into a large and high-resolution display.
Original language | English |
---|---|
Title of host publication | Visual Information Communication |
Editors | Mao Lin Huang, Quang Vinh Nguyen, Kang Zhang |
Place of Publication | U.S. |
Publisher | Springer |
Pages | 231-244 |
Number of pages | 14 |
ISBN (Electronic) | 9781441903129 |
ISBN (Print) | 9781441903112 |
DOIs | |
Publication status | Published - 2010 |