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Titlebook: Algorithms and Models for the Web Graph; 11th International W Anthony Bonato,Fan Chung Graham,Paweł Prałat Conference proceedings 2014 Spri

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期刊全称Algorithms and Models for the Web Graph
期刊简称11th International W
影响因子2023Anthony Bonato,Fan Chung Graham,Paweł Prałat
视频video
发行地址Includes supplementary material:
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Algorithms and Models for the Web Graph; 11th International W Anthony Bonato,Fan Chung Graham,Paweł Prałat Conference proceedings 2014 Spri
影响因子This book constitutes the refereed proceedings of the 11th International Workshop on Algorithms and Models for the Web Graph, WAW 2014, held in Beijing, China, in December 2014. .The 12 papers presented were carefully reviewed and selected for inclusion in this volume. The aim of the workshop was to further the understanding of graphs that arise from the Web and various user activities on the Web, and stimulate the development of high-performance algorithms and applications that exploit these graphs. The workshop gathered the researchers who are working on graph-theoretic and algorithmic aspects of related complex networks, including social networks, citation networks, biological networks, molecular networks, and other networks arising from the Internet.
Pindex Conference proceedings 2014
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/153177.jpg
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Grundzüge stationärer Rückfallarbeitzed PageRank with node-dependent restart. The first generalization is based on the proportion of visits to nodes before the restart, whereas the second generalization is based on the proportion of time a node is visited just before the restart. In the original case of constant restart probability, t
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Grundzüge stationärer Rückfallarbeitistribution with an infinite variance, since such degree distribution is usually observed in real-world networks of diverse nature..There are two common definitions of the clustering coefficient of a graph: global clustering and average local clustering. It is widely believed that in real networks b
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https://doi.org/10.1007/978-3-658-33192-4 subgraph problem. We present a primal-dual algorithm that provides a . approximation and takes .. iterations, each iteration having a shuffle size of . and a reducer size of .. Here . is the number of edges, . is the number of vertices, and . is the maximum degree of a node. This dominates the prev
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