By Evimaria Terzi, Marco Winkler (auth.), Alan Frieze, Paul Horn, Paweł Prałat (eds.)
This booklet constitutes the refereed lawsuits of the eighth overseas Workshop on Algorithms and versions for the Web-Graph, WAW 2011, held in Atlanta, GA, in may perhaps 2011 - co-located with RSA 2011, the fifteenth overseas convention on Random buildings and Algorithms.
The thirteen revised complete papers awarded including 1 invited lecture have been rigorously reviewed and chosen from 19 submissions. Addressing a wide selection of themes concerning the research of the Web-graph corresponding to theoretical and empirical research, the papers characteristic unique learn when it comes to algorithmic and mathematical research in all parts relating the World-Wide internet with specified concentration to the view of advanced information as networks.
Read Online or Download Algorithms and Models for the Web Graph: 8th International Workshop, WAW 2011, Atlanta, GA, USA, May 27-29, 2011. Proceedings PDF
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Extra resources for Algorithms and Models for the Web Graph: 8th International Workshop, WAW 2011, Atlanta, GA, USA, May 27-29, 2011. Proceedings
Hamiltonian chains in hypergraphs. J. : Hypergraphs, quasi-randomness, and conditions for regularity. J. Combin. Theory Ser. : Loose Hamilton cycles in 3-uniform hypergraphs of high minimum degree. J. Combin. Theory Ser. : 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.
Acad. Sci. USA 99(12), 7821–7826 (2002) 6. : Detecting the structure of social networks using (α, β)-communities. Tech. net/1813/22415 7. : A ﬂow-based method for improving the expansion or conductance of graph cuts. L. ) IPCO 2004. LNCS, vol. 3064, pp. 325–337. Springer, Heidelberg (2004) 8. : Statistical properties of community structure in large social and information networks. In: Proc. 18th Int’l World Wide Web Conf. WWW (2008) 9. : Finding strongly-knit clusters in social networks. Internet Mathematics 5(1-2), 155–174 (2009) 10.
The ﬁrst Laplacian L(1) is exactly the Laplacian introduced by Rodr`ıguez . For r2 ≤ s ≤ r − 1, the s-th Laplacian L(s) is deﬁned to be the Laplacian of the corresponding Eulerian directed graph D(s) . At ﬁrst glimpse, σ0 (D(s) ) might be a good parameter. However, it is not hard to show that σ0 (D(s) ) = 1 always holds. Our work is based on (with some improvements) Chung’s recent work [11, 12] on directed graphs. Let us recall Chung’s deﬁnition of Laplacians  for regular hypergraphs. An runiform hypergraph H is d-regular if dx = d for every x ∈ Vr−1 .