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Titlebook: Algorithms and Models for the Web-Graph; 5th International Wo Anthony Bonato,Fan R. K. Chung Conference proceedings 2007 Springer-Verlag Be

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https://doi.org/10.1007/978-3-662-58782-9riteria are limited in that clusters typically do not overlap, all vertices are clustered and/or external sparsity is ignored. We introduce a new criterion that overcomes these limitations by combining internal density with external sparsity in a natural way. An algorithm is given for provably findi
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https://doi.org/10.1007/978-3-658-33215-0 be globally relevant, the teleportation coefficient should account for the influence of all users. Therefore, we correct the PageRank formulation by modeling the teleportation coefficient as a random variable distributed according to user behavior. With this correction, the PageRank values themselv
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https://doi.org/10.1007/978-3-7091-3108-4mine betweenness; currently the fastest-known algorithm by Brandes requires .(.) time for unweighted graphs and .(. + . .log.) time for weighted graphs, where . is the number of vertices and . is the number of edges in the network. These are also the worst-case time bounds for computing the betweenn
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,Die Autonomie des Aufklärers in der Krise,etworks such as the web. This model simultaneously captures several well-known properties of real-world networks; in particular, it gives rise to a heavy-tailed degree distribution, has a low diameter, and obeys the densification power law. Most properties of Kronecker products of graphs (such as co
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