Algorithms and Models for the Web Graph: 8th International by Evimaria Terzi, Marco Winkler (auth.), Alan Frieze, Paul PDF

By Evimaria Terzi, Marco Winkler (auth.), Alan Frieze, Paul Horn, Paweł Prałat (eds.)

ISBN-10: 3642212867

ISBN-13: 9783642212864

This booklet constitutes the refereed lawsuits of the eighth foreign Workshop on Algorithms and versions for the Web-Graph, WAW 2011, held in Atlanta, GA, in may well 2011 - co-located with RSA 2011, the fifteenth overseas convention on Random constructions and Algorithms.
The thirteen revised complete papers offered including 1 invited lecture have been rigorously reviewed and chosen from 19 submissions. Addressing a wide selection of subject matters regarding the research of the Web-graph corresponding to theoretical and empirical research, the papers characteristic unique learn by way of algorithmic and mathematical research in all components relating the World-Wide internet with precise concentration to the view of advanced facts as networks.

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Additional info for Algorithms and Models for the Web Graph: 8th International Workshop, WAW 2011, Atlanta, GA, USA, May 27-29, 2011. Proceedings

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We would like to maximize information while minimizing redundancy. In Fig. 4 we ordered the representative-clusterings to maximize setwise information. Minimizing redundancy came as a fortunate side-effect. Notice how each of the clusterings in 46 M. Rocklin and A. Pinar order is independent from the preceding ones. Knowing that a vertex is red in the first image tells you nothing about the color of the vertex in the second. The second therefore brings only novel information and no redundancy. To compute the information content of a set of clusterings we extend the Variation of Information metric in a natural way.

Bounds on the L2 spectrum for Markov chains and Markov processes: a generalization of Cheeger’s inequality. : Conductance and convergence of markov chainsa combinatorial treatment of expanders. In: Proc. of 30th FOCS, pp. : A Dirac-type theorem for 3-uniform hypergraphs. Combin. Probab. Comput. : An approximate Dirac-type theorem for k-uniform hypergraphs. : Laplacian eigenvalues and partition problems in hypergraphs. com Abstract. An (α, β)-community is a subset of vertices C with each vertex in C connected to at least β vertices of C (self-loops counted) and each vertex outside of C connected to at most α vertices of C (α < β) [9].

Moreover, by Detecting the Structure of Social Networks Using (α, β)-Communities 33 taking the intersection of a number of massively overlapping (α, β)-communities, the set of (α, β)-communities which differ only by a few vertices is reduced to an underlying core. Thus, each (α, β)-community consists of one of a small number of cores and a few random peripheral vertices, and these peripheral vertices are what gives rise to such a large number of (α, β)-communities. Before proceeding to our experiments on other social networks, we provide a detailed discussion on the core structure.

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Algorithms and Models for the Web Graph: 8th International Workshop, WAW 2011, Atlanta, GA, USA, May 27-29, 2011. Proceedings by Evimaria Terzi, Marco Winkler (auth.), Alan Frieze, Paul Horn, Paweł Prałat (eds.)


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