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Algorithms and models for the web gr...
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Workshop on the Preservation of Stability under Discretization ((2001 :)
Algorithms and models for the web graph = 16th International Workshop, WAW 2019, Brisbane, QLD, Australia, July 6-7, 2019 : proceedings /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Algorithms and models for the web graph/ edited by Konstantin Avrachenkov, Pawel Pralat, Nan Ye.
Reminder of title:
16th International Workshop, WAW 2019, Brisbane, QLD, Australia, July 6-7, 2019 : proceedings /
remainder title:
WAW 2019
other author:
Avrachenkov, Konstantin.
corporate name:
Workshop on the Preservation of Stability under Discretization
Published:
Cham :Springer International Publishing : : 2019.,
Description:
ix, 131 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Computer algorithms - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-030-25070-6
ISBN:
9783030250706
Algorithms and models for the web graph = 16th International Workshop, WAW 2019, Brisbane, QLD, Australia, July 6-7, 2019 : proceedings /
Algorithms and models for the web graph
16th International Workshop, WAW 2019, Brisbane, QLD, Australia, July 6-7, 2019 : proceedings /[electronic resource] :WAW 2019edited by Konstantin Avrachenkov, Pawel Pralat, Nan Ye. - Cham :Springer International Publishing :2019. - ix, 131 p. :ill., digital ;24 cm. - Lecture notes in computer science,116310302-9743 ;. - Lecture notes in computer science ;6140..
Using Synthetic Networks for Parameter Tuning in Community Detection -- Efficiency of Transformations of Proximity Measures for Graph Clustering -- Almost Exact Recovery in Label Spreading -- Strongly n-e.c. Graphs and Independent Distinguishing Labellings -- The Robot Crawler Model on Complete k-Partite and Erdős-Renyi Random Graphs -- Estimating the Parameters of the Waxman Random Graph -- Understanding the Effectiveness of Data Reduction in Public Transportation Networks -- A Spatial Small-World Graph Arising from Activity-Based Reinforcement -- SimpleHypergraphs.jl - Novel Software Framework for Modelling and Analysis of Hypergraphs.
This book constitutes the proceedings of the 16th International Workshop on Algorithms and Models for the Web Graph, WAW 2019, held in Brisbane, QLD, Australia, in July 2019. The 9 full papers presented in this volume were carefully reviewed and selected from 13 submissions. The papers cover topics of all aspects of algorithmic and mathematical research in the areas pertaining to the World Wide Web, espousing the view of complex data as networks.
ISBN: 9783030250706
Standard No.: 10.1007/978-3-030-25070-6doiSubjects--Topical Terms:
528474
Computer algorithms
--Congresses.
LC Class. No.: QA76.9.A43 / W39 2019
Dewey Class. No.: 005.1
Algorithms and models for the web graph = 16th International Workshop, WAW 2019, Brisbane, QLD, Australia, July 6-7, 2019 : proceedings /
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16th International Workshop, WAW 2019, Brisbane, QLD, Australia, July 6-7, 2019 : proceedings /
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edited by Konstantin Avrachenkov, Pawel Pralat, Nan Ye.
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Using Synthetic Networks for Parameter Tuning in Community Detection -- Efficiency of Transformations of Proximity Measures for Graph Clustering -- Almost Exact Recovery in Label Spreading -- Strongly n-e.c. Graphs and Independent Distinguishing Labellings -- The Robot Crawler Model on Complete k-Partite and Erdős-Renyi Random Graphs -- Estimating the Parameters of the Waxman Random Graph -- Understanding the Effectiveness of Data Reduction in Public Transportation Networks -- A Spatial Small-World Graph Arising from Activity-Based Reinforcement -- SimpleHypergraphs.jl - Novel Software Framework for Modelling and Analysis of Hypergraphs.
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This book constitutes the proceedings of the 16th International Workshop on Algorithms and Models for the Web Graph, WAW 2019, held in Brisbane, QLD, Australia, in July 2019. The 9 full papers presented in this volume were carefully reviewed and selected from 13 submissions. The papers cover topics of all aspects of algorithmic and mathematical research in the areas pertaining to the World Wide Web, espousing the view of complex data as networks.
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