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A New Visualization Approach to Better Understanding the World Wide Web

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The Web is a real-world network, often modeled by a graph in which the vertices represent web pages and the edges correspond to the links between Web pages. Understanding the structure of the Web graph is crucial to effective modeling of the Web. One approach that facilitates this understanding is to provide sophisticated visualization tools for users to intuitively view the Web structure. We have developed a system that visualizes graph samples generated by different Web graph models or crawled from the real Web. Our approach provides an innovative perspective in visualization of large graphs. Graphs are visualized in microscopic and macroscopic levels in a three dimensional space and a graph mining method is also implemented to specify isolated cliques or other meaningful sub-graphs. Many structural properties of a graph can be revealed by our system so that direct comparison between Web graph models and real Web samples become possible.
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Keywords: 3D VISUALIZATION; STOCHASTIC MODEL; WEB GRAPH; WEB MINING

Document Type: Research Article

Publication date: June 1, 2013

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  • JOURNAL OF COMPUTATIONAL INTELLIGENCE AND ELECTRONIC SYSTEMS publishes emerging research in the areas of the computational intelligence and electronic systems. JCIES publishes in all areas of computational intelligence design and applications: applications oriented developments, successful industrial implementations, design tools, technology reviews, computational intelligence education, and applied research, specific emphasis on power electronics, embedded systems, semiconductor devices, analogue circuits, digital electronics, microwave and millimeter-wave techniques, wireless and optical communications, sensors, instrumentation and medical electronics much more.
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