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Algorithms and models for the web graph : 16th International Workshop, WAW 2019, Brisbane, QLD, Australia, July 6-7, 2019, Proceedings / Konstantin Avrachenkov, Paweł Prałat, Nan Ye (eds.).

WAW (Workshop) (16th : 2019 : Brisbane, Qld.); Avrachenkov, Konstantin.; Prałat, Paweł.; Ye, Nan (Lecturer in Statistics and Data Science)
2019
QA76.9.A43 W39 2019
Available Online
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Title
Algorithms and models for the web graph : 16th International Workshop, WAW 2019, Brisbane, QLD, Australia, July 6-7, 2019, Proceedings / Konstantin Avrachenkov, Paweł Prałat, Nan Ye (eds.).
Meeting Name
WAW (Workshop) (16th : 2019 : Brisbane, Qld.)
ISBN
9783030250706 (electronic book)
3030250709 (electronic book)
9783030250690
Published
Cham, Switzerland : Springer, [2019]
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-25
Call Number
QA76.9.A43 W39 2019
Dewey Decimal Classification
005.1
Summary
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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Includes index.
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Access limited to authorized users.
Source of Description
Description based on online resource; title from digital title page (viewed on August 23, 2019).
Added Author
Avrachenkov, Konstantin.
Prałat, Paweł.
Ye, Nan (Lecturer in Statistics and Data Science)
Series
Lecture notes in computer science ; 11631.
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
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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-Rényi 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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