Download e-book for iPad: Algorithms and Models for the Web-Graph: 6th International by Kevin J. Lang (auth.), Konstantin Avrachenkov, Debora

By Kevin J. Lang (auth.), Konstantin Avrachenkov, Debora Donato, Nelly Litvak (eds.)

ISBN-10: 3540959947

ISBN-13: 9783540959946

This e-book constitutes the refereed court cases of the sixth overseas Workshop on Algorithms and types for the Web-Graph, WAW 2009, held in Barcelona, Spain, in February 2009 - co-located with WSDM 2009, the second one ACM overseas convention on internet seek and information Mining.

The 14 revised complete papers offered have been conscientiously reviewed and chosen from various submissions for inclusion within the ebook. The papers deal with a wide selection of themes concerning the research of the Web-graph corresponding to theoretical and empirical research of the net graph and internet 2.0 graphs, random walks on the internet and net 2.0 graphs and their functions, and layout and function evaluate of the algorithms for social networks. The workshop papers were certainly clustered in 3 topical sections on graph versions for complicated networks, pagerank and net graph, and social networks and search.

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Algorithms 34(2), 203–221 (2000) 7. : Greedy approximation algorithms for finding dense components in a graph. , Khuller, S. ) APPROX 2000. LNCS, vol. 1913, pp. 84–95. Springer, Heidelberg (2000) 8. : A scalable pattern mining approach to web graph compression with communities. In: WSDM 2008: Proceedings of the international conference on web search and web data mining, pp. 95–106 (2008) 9. : Extraction and classification of dense communities in the web. In: WWW 2007: Proceedings of the 16th international conference on World Wide Web, pp.

Each point on the curve represents a w-core. One curve shows the core number, the other shows the density of the core, and both are plotted against the number of vertices in the core. The value of k∗ can be seen from these plots; it is the x-coordinate of the first point (from right to left) at which these two curves intersect. References 1. : Massive quasi-clique detection. In: Rajsbaum, S. ) LATIN 2002. LNCS, vol. 2286, pp. 598–612. Springer, Heidelberg (2002) 2. : Large scale networks fingerprinting and visualization using the k-core decomposition.

The evolution of random subgraphs of the cube. Random Structures and Algorithms 3(1), 55–90 (1992) 4. : Percolation on dense graph sequences (preprint) 5. : Random subgraphs of finite graphs. I. The scaling window under the triangle condition. Random Structures and Algorithms 27(2), 137–184 (2005) 6. : Random subgraphs of finite graphs. III. The scaling window under the triangle condition. Combinatorica 26(4), 395–410 (2006) 7. : Spectral Graph Theory. AMS Publications (1997) 8. : The spectra of random graphs with given expected degrees.

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Algorithms and Models for the Web-Graph: 6th International Workshop, WAW 2009, Barcelona, Spain, February 12-13, 2009. Proceedings by Kevin J. Lang (auth.), Konstantin Avrachenkov, Debora Donato, Nelly Litvak (eds.)


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