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Modelling and Mining Networks

19th International Workshop, WAW 2024, Warsaw, Poland, June 3–6, 2024, Proceedings

  • Conference proceedings
  • © 2024

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14671)

Included in the following conference series:

Conference proceedings info: WAW 2024.

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About this book

This book constitutes the refereed proceedings of the 19th International Workshop on Modelling and Mining Networks, WAW 2024, held in Warsaw, Poland, during June 3–6, 2024.

The 12 full papers presented in this book were carefully reviewed and selected from 19 submissions. The aim of this workshop was to further the understanding of networks that arise in theoretical as well as applied domains. The goal was also to stimulate the development of high-performance and scalable algorithms that exploit these networks. 

Keywords

Table of contents (12 papers)

Other volumes

  1. Modelling and Mining Networks

Editors and Affiliations

  • Tutte Institute for Mathematics and Computing, Ottawa, Canada

    Megan Dewar, François Théberge

  • SGH Warsaw School of Economics, Warsaw, Poland

    Bogumił Kamiński, Daniel Kaszyński, Łukasz Kraiński, Małgorzata Wrzosek

  • Toronto Metropolitan University, Toronto, Canada

    Paweł Prałat

Bibliographic Information

  • Book Title: Modelling and Mining Networks

  • Book Subtitle: 19th International Workshop, WAW 2024, Warsaw, Poland, June 3–6, 2024, Proceedings

  • Editors: Megan Dewar, Bogumił Kamiński, Daniel Kaszyński, Łukasz Kraiński, Paweł Prałat, François Théberge, Małgorzata Wrzosek

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-59205-8

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-59204-1Published: 03 May 2024

  • eBook ISBN: 978-3-031-59205-8Published: 28 April 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 185

  • Number of Illustrations: 10 b/w illustrations, 31 illustrations in colour

  • Topics: Theory of Computation, Data Structures and Information Theory, Computer Applications, Discrete Mathematics in Computer Science

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