Download e-book for kindle: 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 foreign convention on net seek and information Mining.

The 14 revised complete papers offered have been conscientiously reviewed and chosen from a number of submissions for inclusion within the e-book. The papers handle a wide selection of subject matters on the topic of the research of the Web-graph equivalent to theoretical and empirical research of the internet graph and internet 2.0 graphs, random walks on the internet and internet 2.0 graphs and their purposes, and layout and function evaluate of the algorithms for social networks. The workshop papers were clearly clustered in 3 topical sections on graph types for advanced networks, pagerank and internet graph, and social networks and search.

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Extra resources for Algorithms and Models for the Web-Graph: 6th International Workshop, WAW 2009, Barcelona, Spain, February 12-13, 2009. Proceedings

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Efficient sampling algorithm for estimating subgraph concentrations and detecting network motifs. Bioinformatics 20(11), 1746 (2004) 12. : Network motifs: Simple building blocks of complex networks. Science 298, 824–827 (2002) 13. : Biological network comparison using graphlet degree distribution. Bioinformatics 23(2), e177–e183 (2007) 14. : Modeling interactome: Scale- free or geometric? Bioinformatics 150, 216–231 (2005) 15. : Efficient algorithms for detecting signaling pathways in protein interaction networks.

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. 461–470 (2007) Finding Dense Subgraphs with Size Bounds 37 10. : Approximation algorithms for maximization problems arising in graph partitioning. J. Algorithms 41(2), 174–211 (2001) 11. : The dense k-subgraph problem. Algorithmica 29(3), 410–421 (2001) 12.

The proof of Theorem 5 and counting the number of subgraphs of G which are isomorphic to H appear in the full version of the paper [7]. Counting Small Trees. Let H be a tree of size four that is consisted of a Computing the number of subgraphs of G vertex and three of its neighbors. which are isomorphic to H, and, for every vertex v, the number of subgraphs of G which are isomorphic to H and adjacent to v appear in the full version of the paper [7]. 5 Conclusions We presented algorithms with time complexity O e2k k · n · |E| · log 1δ /ǫ2 that, for the first time, approximate the number of non-induced occurrences of the motif a vertex is part of, for k-length cycles, k-length cycles with a chord, and (k − 1)-length paths, where k = O(log n), and for all motifs of size of at most four.

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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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