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Titlebook: Algorithms and Models for the Web Graph; 17th International W Bogumi? Kamiński,Pawe? Pra?at,Przemys?aw Szufel Conference proceedings 2020 S

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發(fā)表于 2025-3-21 19:26:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Algorithms and Models for the Web Graph
期刊簡(jiǎn)稱17th International W
影響因子2023Bogumi? Kamiński,Pawe? Pra?at,Przemys?aw Szufel
視頻videohttp://file.papertrans.cn/154/153185/153185.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Algorithms and Models for the Web Graph; 17th International W Bogumi? Kamiński,Pawe? Pra?at,Przemys?aw Szufel Conference proceedings 2020 S
影響因子.This book constitutes the proceedings of the 17th International Workshop on Algorithms and Models for the Web Graph, WAW 2020, held in Warsaw, Poland, in September 2020. The 12 full papers presented in this volume were carefully reviewed and selected from 19 submissions. 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..Due to the corona pandemic the conference was postponed from June 2020 to September 2020..
Pindex Conference proceedings 2020
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https://doi.org/10.1007/978-3-211-92163-0envalues of the adjacency matrices of ILDT digraphs. We finish by showing that in many instances of the chosen initial digraph, the model eventually generates digraphs with Hamiltonian directed cycles.
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https://doi.org/10.1007/978-3-662-66978-5In this paper, we propose an extension of a state-of-the-art method that overcomes such problems by applying a Monte Carlo sub-sampling procedure on the graphs. We show on synthetic experiments that even small variations of true power-law distributed data causes the state-of-the-art method to reject
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Assortativity and Bidegree Distributions on Bernoulli Random Graph Superpositions,tion of adjacent nodes. This yields a simple analytical formula for the model assortativity, and opens up ways to analyze rank correlation coefficients suitable for random graphs with heavy-tailed degree distributions.
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0302-9743 h-performance algorithms and applications that exploit these graphs..Due to the corona pandemic the conference was postponed from June 2020 to September 2020..978-3-030-48477-4978-3-030-48478-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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