Advertisement

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
Conference proceedings WAW 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11631)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11631)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Konstantin Avrachenkov, Maximilien Dreveton
    Pages 30-43
  3. Christopher Duffy, Jeannette Janssen
    Pages 44-56
  4. Matthew Roughan, Jonathan Tuke, Eric Parsonage
    Pages 71-86
  5. Thomas Bläsius, Philipp Fischbeck, Tobias Friedrich, Martin Schirneck
    Pages 87-101
  6. Markus Heydenreich, Christian Hirsch
    Pages 102-114
  7. Alessia Antelmi, Gennaro Cordasco, Bogumił Kamiński, Paweł Prałat, Vittorio Scarano, Carmine Spagnuolo et al.
    Pages 115-129
  8. Back Matter
    Pages 131-131

About these proceedings

Introduction

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

Editors and affiliations

  • Konstantin Avrachenkov
    • 1
  • Paweł Prałat
    • 2
  • Nan Ye
    • 3
  1. 1.InriaSophia AntipolisFrance
  2. 2.Ryerson UniversityTorontoCanada
  3. 3.The University of QueenslandBrisbaneAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-25070-6
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-25069-0
  • Online ISBN 978-3-030-25070-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
Industry Sectors
Electronics
IT & Software
Telecommunications
Law
Engineering