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