Xiaodi Huang

Graph Visualization

Filtering, Clustering and Dynamic Layout of Graphs in the WWW

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: VDM Verlag Dr. Müller
• Seitenzahl: 212
• Englisch
• Abmessung: 220mm x 153mm x 14mm
• Gewicht: 334g
• ISBN-13: 9783639166064
• ISBN-10: 363916606X
• Artikelnr.: 26540073

Autorenporträt

Xiaodi Huang is a senior lecturer in the School of Business and
IT at Charles Sturt University, Australia. He received his PhD
degree in computer science from Swinburne University of
Technology in 2004. His research areas include information
visualization and software engineering. He is a member of the
ACM and IEEE Computer Society.