Graph Visualization: Filtering, Clustering and Dynamic Layout of Graphs in the WWW

by Xiaodi Huang

As a fundamental structure in computer science and information technology, graphs are commonly employed to model relational structures that are sets of objects and the relationships between them. As an effective tool, graph visualization is about visualizing such relational information. The book provides a systematic framework for graph visualization, and presents the techniques for filtering, clustering and dynamic layout of large graphs. These techniques offer the solutions to questions such as how to rank online users, how to discover online user communities, and how to visualize online users? interactive activities. Except for theoretic analysis, the book presents the algorithms in detail, and exemplifies how to visualize Web graphs, complete with a number of illustrative figures. The book accommodates both beginning and advanced students in computer science and IT. It is also indispensable for researchers and practitioners in the area of visualization, particularly for those who are interested in visualizing graphs in online environments.

212 pages, Paperback

Published June 14, 2009