Skip to main content
SpringerLink
Log in

Complex Networks XV

Proceedings of the 15th Conference on Complex Networks, CompleNet 2024

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Federico Botta

    1. Department of Computer Science, University of Exeter, Exeter, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Mariana Macedo

    1. Department of Data Science, Northeastern University London, London, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Hugo Barbosa

    1. Department of Computer Science, University of Exeter, Exeter, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Ronaldo Menezes

    1. Department of Computer Science, University of Exeter, Exeter, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Explores and celebrates the interdisciplinary nature of complex networks
  • One of the most inter- cross-disciplinary events in the field
  • Presents the latest ideas and findings in the area of network science

Part of the book series: Springer Proceedings in Complexity (SPCOM)

Included in the following conference series:

Conference proceedings info: CompleNet-Live 2024.

  • 446 Accesses

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

Access this book

Log in via an institution
Hardcover Book USD 149.00
Price excludes VAT (USA)
  • Durable hardcover 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 (16 papers)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Mapping Low-Resolution Edges to High-Resolution Paths: The Case of Traffic Measurements in Cities

    • Bastien Legay, Matthieu Latapy
    Pages 1-13

  3. From Low Resource Information Extraction to Identifying Influential Nodes in Knowledge Graphs

    • Erica Cai, Olga Simek, Benjamin A. Miller, Danielle Sullivan, Evan Young, Christopher L. Smith
    Pages 15-27

  4. Inhomogenous Marketing Mix Diffusion

    • Luís G. Pinto, Luís Cavique, Orlando Gomes, Jorge M. A. Santos
    Pages 29-41

  5. Modeling Both Pairwise Interactions and Group Effects in Polarization on Interaction Networks

    • Duncan Cassells, Lionel Tabourier, Pedro Ramaciotti
    Pages 43-54

  6. Computing Motifs in Hypergraphs

    • Duarte Nóbrega, Pedro Ribeiro
    Pages 55-70

  7. Extending Network Tools to Explore Trends in Temporal Granular Trade Networks

    • Andrea Colombo, Geng Liu
    Pages 71-83

  8. Expressivity of Geometric Inhomogeneous Random Graphs—Metric and Non-metric

    • Benjamin Dayan, Marc Kaufmann, Ulysse Schaller
    Pages 85-100

  9. Social Interactions Matter: Is Grey Wolf Optimizer a Particle Swarm Optimization Variation?

    • Rodrigo Cesar Lira, Mariana Macedo, Hugo Valadares Siqueira, Ronaldo Menezes, Carmelo Bastos-Filho
    Pages 101-114

  10. Exploring Ingredient Variability in Classic Russian Cuisine Dishes Through Complex Network Analysis

    • Dmitry Zinoviev
    Pages 115-124

  11. Unraveling the Structure of Knowledge: Consistency in Everyday Networks, Diversity in Scientific

    • Owen G. W. Saunders, Chico Q. Camargo, Massimo Stella
    Pages 125-135

  12. Kinematic-Based Force-Directed Graph Embedding

    • Hamidreza Lotfalizadeh, Mohammad Al Hasan
    Pages 137-149

  13. Deep Graph Machine Learning Models for Epidemic Spread Prediction and Prevention

    • Charalampos Salis, Katia Papakonstantinopoulou
    Pages 151-163

  14. EleMi: A Robust Method to Infer Soil Ecological Networks with Better Community Structure

    • Nan Chen, Doina Bucur
    Pages 165-178

  15. Interpreting Node Embedding Distances Through n-Order Proximity Neighbourhoods

    • Dougal Shakespeare, Camille Roth
    Pages 179-193

  16. Edge Dismantling with Geometric Reinforcement Learning

    • Marco Grassia, Giuseppe Mangioni
    Pages 195-202

  17. Public Transit Inequality in the Context of the Built Environment

    • Nandini Iyer, Ronaldo Menezes, Hugo Barbosa
    Pages 203-218
Back to top

Other volumes

  1. Complex Networks XV

Keywords

About this book

The International Conference on Complex Networks (CompleNet) brings together researchers and practitioners from diverse disciplines working on areas related to complex networks. CompleNet has been an active conference since 2009. Over the past two decades, we have witnessed an exponential increase in the number of publications and research centres dedicated to this field of Complex Networks (aka Network Science). From biological systems to computer science, from technical to informational networks, and from economic to social systems, complex networks are becoming pervasive for dozens of applications. It is the interdisciplinary nature of complex networks that CompleNet aims to capture and celebrate. The CompleNet conference is one of the most cherished events by scientists in our field. Maybe it is because of its motivating format, consisting of plenary sessions (no parallel sessions); or perhaps the reason is that it finds the perfect balance between young and senior participation, a balance in the demographics of the presenters, or perhaps it is just the quality of the work presented.

Editors and Affiliations

  • Department of Computer Science, University of Exeter, Exeter, UK

    Federico Botta, Hugo Barbosa, Ronaldo Menezes

  • Department of Data Science, Northeastern University London, London, UK

    Mariana Macedo

Bibliographic Information

  • Book Title: Complex Networks XV

  • Book Subtitle: Proceedings of the 15th Conference on Complex Networks, CompleNet 2024

  • Editors: Federico Botta, Mariana Macedo, Hugo Barbosa, Ronaldo Menezes

  • Series Title: Springer Proceedings in Complexity

  • DOI: https://doi.org/10.1007/978-3-031-57515-0

  • Publisher: Springer Cham

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

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

  • Hardcover ISBN: 978-3-031-57514-3Published: 14 April 2024

  • Softcover ISBN: 978-3-031-57517-4Due: 18 May 2024

  • eBook ISBN: 978-3-031-57515-0Published: 13 April 2024

  • Series ISSN: 2213-8684

  • Series E-ISSN: 2213-8692

  • Edition Number: 1

  • Number of Pages: XII, 218

  • Number of Illustrations: 5 b/w illustrations, 72 illustrations in colour

  • Topics: Graph Theory, Social Sciences, general, Complex Systems, Computational Intelligence

Publish with us

Policies and ethics

Back to top

Search

Navigation