Abstract
Methods for ranking World Wide Web resources according to their position in the link structure of the Web are receiving considerable attention, because they provide the first effective means for search engines to cope with the explosive growth and diversification of the Web. We show that layouts for effective visualization of an underlying link structure can be computed in sync with the iterative computation utilized in all popular such rankings. Our visualizations provide valuable insight into the link structure and the ranking mechanism alike. Therefore, they are useful for the analysis of query results, maintenance of search engines, and evaluation of Web graph models.
Highlights
The directed graph induced by the hyperlink structure of the Web has been recognized as a rich source of information
To facilitate visual exploration of ranking methods on larger link structures such as Web graphs, we propose to apply the same principle, but with a very different layout algorithm that is more appropriate for the specific type of data
As a generalization of using indegrees to measure ‘status’ in social networks, the prominence of a vertex is determined by the number of directed paths of arbitrary length ending in the vertex, where the influence of longer paths is attenuated by a decay factor
Summary
The directed graph induced by the hyperlink structure of the Web has been recognized as a rich source of information. While graph visualization is an active area of research as well [14, 28], its integration with quantitative network analyses is only beginning to receive attention It is, rather difficult to understand the determinants of, say, a particular ranking if its results do not influence the way in which the structure is visualized. To facilitate visual exploration of ranking methods on larger link structures such as Web graphs, we propose to apply the same principle, but with a very different layout algorithm that is more appropriate for the specific type of data. By using the axis separation principle and spectral layout techniques, a uniform approach to visual ranking of link structures is achieved.
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