Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11631)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): WAW: International Workshop on Modelling and Mining Networks
Conference proceedings info: WAW 2019.
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Table of contents (9 papers)
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Front Matter
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Back Matter
About this book
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.
Keywords
- modeling
- complex networks
- web graph
- algorithms
- random graphs
- clustering coefficient
- graph clustering
- modularity
- clustering
- community detection
- graph theory
- graph-based
- graphic methods
- learning algorithms
- semi-supervised learning
- supervised learning
- algorithm analysis and problem complexity
- data structures
Editors and Affiliations
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Inria, Sophia Antipolis, France
Konstantin Avrachenkov
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Ryerson University, Toronto, Canada
Paweł Prałat
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The University of Queensland, Brisbane, Australia
Nan Ye
Bibliographic Information
Book Title: Algorithms and Models for the Web Graph
Book Subtitle: 16th International Workshop, WAW 2019, Brisbane, QLD, Australia, July 6–7, 2019, Proceedings
Editors: Konstantin Avrachenkov, Paweł Prałat, Nan Ye
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-25070-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-25069-0Published: 04 July 2019
eBook ISBN: 978-3-030-25070-6Published: 12 July 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 131
Number of Illustrations: 10 b/w illustrations, 14 illustrations in colour
Topics: Algorithm Analysis and Problem Complexity, Discrete Mathematics in Computer Science, Data Structures, Artificial Intelligence, Computer Graphics