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