Titlebook: Algorithms and Models for the Web-Graph; 7th International Wo Ravi Kumar,Dandapani Sivakumar Conference proceedings 2010 The Editor(s) (if

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Game-Theoretic Models of Information Overload in Social Networks, that capture rate competition between celebrities producing updates in such networks where users non-strategically choose a subset of celebrities to follow based on the utility derived from high quality updates as well as disutility derived from having to wade through too many updates. Our two vari

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Die Verwendung des Schwefelkohlenstoffs,e integer .. The improved PageRank algorithm is crucial for computing a quantitative ranking of edges in a given graph. We will use the edge ranking to examine two interrelated problems – graph sparsification and graph partitioning. We can combine the graph sparsification and the partitioning algori

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https://doi.org/10.1007/978-3-642-46987-9ts can be defined by many different metrics and aggregation of these metrics into a single one poses several important challenges, such as recovering this aggregation function from ground-truth, investigating the space of different clusterings, etc. In this paper, we address how to find an aggregati

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Wirtschaftswissenschaftliche Beiträgeip, and wireless sensor networks. RIGs can be interpreted as a model for large randomly formed non-metric data sets. We analyze the component evolution in general RIGs, giving conditions on the existence and uniqueness of the giant component. Our techniques generalize existing methods for analysis o

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Die Gravitation am Rande der Metagalaxis,ain their emergence through tractable models. In most networks, and especially in social networks, nodes have a rich set of attributes associated with them. We present the Multiplicative Attribute Graphs (MAG) model, which naturally captures the interactions between the network structure and the nod

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