A Kernel-Based Algorithm for Multilevel Drawing of Web Graphs

Publisher:
IEEE Computer Society Press
Publication Type:
Conference Proceeding
Citation:
Proc. of Int'l Conference on Computer Graphics, Imaging and Visualization (CGIV07), 2007, pp. 454 - 459
Issue Date:
2007-01
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2006009887.pdf399.36 kB
Adobe PDF
A Web graph refers to the graph that models the hyperlink relations between Web pages in the WWW, where a node represents a URL and an edge indicates a link between two URLs. A Web graph is normally a very huge graph. In the course of users' Web exploration, only part of the Web graph is displayed on the screen each time according to a user's current navigation focus. In this paper, we make use of a fast kernel-based algorithm that is able to cluster large graphs. The algorithm is implemented in an online visualization system of Web graphs. In the system, a Web crawler first generates the Web graph of web sites. The clustering algorithm then reduces the visual complexities of the large graph. In particular, it groups a set of highly connected nodes and their edges into a clustered graph with abstract nodes and edges. The experiments have demonstrated that the employed algorithm is able to cluster graphs.
Please use this identifier to cite or link to this item: