Download Algorithms and Models for the Web Graph: 9th International by Fan Chung, Alexander Tsiatas (auth.), Anthony Bonato, PDF

By Fan Chung, Alexander Tsiatas (auth.), Anthony Bonato, Jeannette Janssen (eds.)

ISBN-10: 3642305407

ISBN-13: 9783642305405

This e-book constitutes the refereed complaints of the ninth foreign Workshop on Algorithms and types for the Web-Graph, WAW 2012, held in Halifax, Nova Scotia, Canada, in June 2012. The thirteen papers awarded have been conscientiously reviewed and chosen for inclusion during this quantity. They handle a couple of issues on the topic of the advanced networks such hypergraph coloring video games and voter versions; algorithms for detecting nodes with huge levels; random Appolonian networks; and a sublinear set of rules for Pagerank computations.

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Extra resources for Algorithms and Models for the Web Graph: 9th International Workshop, WAW 2012, Halifax, NS, Canada, June 22-23, 2012. Proceedings

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What is Twitter, a social network or a news media? In: Proceedings of the 19th International World Wide Web Conference (2010) 24. : Geographical threshold graphs with small-world and scale-free properties. Phys. Rev. E 71(3), 036108 (2005) 25. : On Certain Connectivity Properties of the Internet Topology. In: Proc. IEEE Symposium on Foundations of Computer Science, p. 28 (2003) 26. : Measurement and analysis of on-line social networks. In: Proceedings of the 7th ACM SIGCOMM Conference on Internet Measurement (2007) 27.

Dynamic topic models. In: Proceedings of the 23rd International Conference on Machine Learning, ICML 2006, pp. 113–120. 1143859 5. : The monadic second-order logic of graphs. i. recognizable sets of finite graphs. Inf. Comput. 81255 6. : An improved approximation algorithm for multiway cut. In: Proceedings of the Thirtieth Annual ACM Symposium on Theory of Computing, STOC 1998, pp. 48–52. 276711 7. : Tree-width, path-width, and cutwidth. Discrete Appl. Math. 153618 8. : The information diffusion model in the blog world.

Uk∗ k>k∗ ≤ 2A2 (1 + o(1))A2 pe(log v/u + 1/u) k−1 (1 + o(1))A2 e(log v/u + 1/u) C log t k∗ k−1 1 1 − 3A2 /C = O(6−18 log t ) = o(t−4 ). The result follows for u tending to infinity. In the case where u is a constant, it follows from Theorem 1 that a multiplicative correction of e can be used in E(deg− (ti−1 , ti )), leading to an error term of O(t−18 log 2 ) = o(t−4 ), as before.

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