Skip to main content
SpringerLink
Log in

Modelling and Mining Networks

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

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Megan Dewar

    1. Tutte Institute for Mathematics and Computing, Ottawa, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Bogumił Kamiński

    1. SGH Warsaw School of Economics, Warsaw, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Daniel Kaszyński

    1. SGH Warsaw School of Economics, Warsaw, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Łukasz Kraiński

    1. SGH Warsaw School of Economics, Warsaw, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Paweł Prałat

    1. Toronto Metropolitan University, Toronto, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  6. François Théberge

    1. Tutte Institute for Mathematics and Computing, Ottawa, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  7. Małgorzata Wrzosek

    1. SGH Warsaw School of Economics, Warsaw, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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

Included in the following conference series:

Conference proceedings info: WAW 2024.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (12 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Subgraph Counts in Random Clustering Graphs

    • Fan Chung, Nicholas Sieger
    Pages 1-16

  3. Self-similarity of Communities of the ABCD Model

    • Jordan Barrett, Bogumił Kamiński, Paweł Prałat, François Théberge
    Pages 17-31

  4. A Simple Model of Influence: Details and Variants of Dynamics

    • Colin Cooper, Nan Kang, Tomasz Radzik, Ngoc Vu
    Pages 32-46

  5. Impact of Market Design and Trading Network Structure on Market Efficiency

    • Nick Arnosti, Bogumił Kamiński, Paweł Prałat, Mateusz Zawisza
    Pages 47-64

  6. Network Embedding Exploration Tool (NEExT)

    • Ashkan Dehghan, Paweł Prałat, François Théberge
    Pages 65-79

  7. Efficient Computation of K-Edge Connected Components: An Empirical Analysis

    • Hanieh Sadri, Venkatesh Srinivasan, Alex Thomo
    Pages 80-96

  8. The Directed Age-Dependent Random Connection Model with Arc Reciprocity

    • Lukas Lüchtrath, Christian Mönch
    Pages 97-114

  9. How to Cool a Graph

    • Anthony Bonato, Holden Milne, Trent G. Marbach, Teddy Mishura
    Pages 115-129

  10. Distributed Averaging for Accuracy Prediction in Networked Systems

    • Christel Sirocchi, Alessandro Bogliolo
    Pages 130-145

  11. Towards Graph Clustering for Distributed Computing Environments

    • Przemysław Szufel
    Pages 146-158

  12. HypergraphRepository: A Community-Driven and Interactive Hypernetwork Data Collection

    • Alessia Antelmi, Daniele De Vinco, Carmine Spagnuolo
    Pages 159-173

  13. Clique Counts for Network Similarity

    • Anthony Bonato, Zhiyuan Zhang
    Pages 174-183

  14. Back Matter

    Pages 185-185
    Download chapter PDF
Back to top

Other volumes

  1. Modelling and Mining Networks

Keywords

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. 

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

Publish with us

Policies and ethics

Back to top

Search

Navigation