Titlebook: Algorithms and Models for the Web Graph; 15th International W Anthony Bonato,Pawe? Pra?at,Andrei Raigorodskii Conference proceedings 2018 S

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A Statistical Performance Analysis of Graph Clustering Algorithms,ample size and breakdowns during numerical implementation and less sensitive to uncertainty in connectivity. These features are especially important in the context of larger data sets or when the data may contain errors in the connectivity patterns.

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Parameter Estimators of Sparse Random Intersection Graphs with Thinned Communities,ally tractable network model with tunable density, transitivity, and degree fluctuations. We prove that the parameters of this model can be consistently estimated in the large and sparse limiting regime using moment estimators based on partially observed densities of links, 2-stars, and triangles.

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0302-9743 ges, hosts and users; the understanding of graphs that arise from the Web and various user activities on the Web; stimulation of the development of high-performance algorithms and applications that exploit these graphs..978-3-319-92870-8978-3-319-92871-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Algorithms and Models for the Web Graph978-3-319-92871-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

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