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Complex Networks XIV

Proceedings of the 14th Conference on Complex Networks, CompleNet 2023

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Andreia Sofia Teixeira

    1. Faculty of Sciences, University of Lisbon, Lisbon, Portugal

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  2. Federico Botta

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

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  3. José Fernando Mendes

    1. Department of Physics, University of Aveiro, Aveiro, Portugal

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  4. Ronaldo Menezes

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

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  5. Giuseppe Mangioni

    1. Department of Electrical, Electronic and Computer Engineering, University of Catania, Catania, Italy

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  • Presents the latest ideas and findings in the area of network science
  • Contains contributions presented at the 14th International Conference on Complex Networks
  • Explores and celebrates the interdisciplinary nature of complex networks

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

Included in the following conference series:

Conference proceedings info: CompleNet-Live 2023.

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Table of contents (14 papers)

  1. Front Matter

    Pages i-vi
    Download chapter PDF

  2. Brain’s Dynamic Functional Organization with Simultaneous EEG-fMRI Networks

    • Francisca Ayres-Ribeiro, Jonathan Wirsich, Rodolfo Abreu, João Jorge, Andreia Sofia Teixeira, Alexandre P. Francisco et al.
    Pages 1-13

  3. Comparative Study of Random Walks with One-Step Memory on Complex Networks

    • Miroslav Mirchev, Lasko Basnarkov, Igor Mishkovski
    Pages 14-25

  4. Network Entropy as a Measure of Socioeconomic Segregation in Residential and Employment Landscapes

    • Nandini Iyer, Ronaldo Menezes, Hugo Barbosa
    Pages 26-37

  5. Community Structure in Transcriptional Regulatory Networks of Yeast Species

    • Fábio Cruz, Pedro T. Monteiro, Andreia Sofia Teixeira
    Pages 38-49

  6. Learned Monkeys: Emergent Properties of Deep Reinforcement Learning Generated Networks

    • Shosei Anegawa, Iris Ho, Khoa Ly, James Rounthwaite, Theresa Migler
    Pages 50-61

  7. Targeted Attacks Based on Networks Component Structure

    • Issa Moussa Diop, Chantal Cherifi, Cherif Diallo, Hocine Cherifi
    Pages 62-73

  8. The Effect of Link Recommendation Algorithms on Network Centrality Disparities

    • Timo Debono, Fernando P. Santos
    Pages 74-85

  9. CoreGDM: Geometric Deep Learning Network Decycling and Dismantling

    • Marco Grassia, Giuseppe Mangioni
    Pages 86-94

  10. The Impact of a Crisis Event on Predicting Social Media Virality

    • Esra C. S. de Groot, Reshmi G. Pillai, Fernando P. Santos
    Pages 95-107

  11. Evaluating the Bayesian MRP Network Model for Estimating Heterogeneity in (Age-Stratified) Contact Patterns from Highly Selective Samples

    • Ramona Ottow
    Pages 108-119

  12. Academic Mobility as a Driver of Productivity: A Gender-centric Approach

    • Mariana Macedo, Ana Maria Jaramillo, Ronaldo Menezes
    Pages 120-131

  13. Getting the Boot? Predicting the Dismissal of Managers in Football

    • Mounir Attié, Diogo Pacheco, Marcos Oliveira
    Pages 132-140

  14. Nature vs. Nurture in Science: The Effect of Researchers Segregation on Papers’ Citation Histories

    • Ana Maria Jaramillo, Felipe Montes, Ronaldo Menezes
    Pages 141-154

  15. Using Vector Fields in the Modelling of Movements as Flows

    • Sima Farokhnejad, Marcos Oliveira, Eraldo Ribeiro, Ronaldo Menezes
    Pages 155-167

  16. Back Matter

    Pages 169-169
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Keywords

About this book

This book contains contributions in the area of Network Science, presented at the 14th International Conference on Complex Networks (CompleNet), 24-28 April, 2023 in Aveiro, Portugal. CompleNet is an international conference on complex networks that brings together researchers and practitioners from diverse disciplines—from sociology, biology, physics, and computer science—who share a passion to better understand the interdependencies within and across systems.  CompleNet is a venue to discuss ideas and findings about all types networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate.

The audience of the work are professionals and academics working in Network Science, a highly-multidisciplinary field.



Editors and Affiliations

  • Faculty of Sciences, University of Lisbon, Lisbon, Portugal

    Andreia Sofia Teixeira

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

    Federico Botta, Ronaldo Menezes

  • Department of Physics, University of Aveiro, Aveiro, Portugal

    José Fernando Mendes

  • Department of Electrical, Electronic and Computer Engineering, University of Catania, Catania, Italy

    Giuseppe Mangioni

Bibliographic Information

  • Book Title: Complex Networks XIV

  • Book Subtitle: Proceedings of the 14th Conference on Complex Networks, CompleNet 2023

  • Editors: Andreia Sofia Teixeira, Federico Botta, José Fernando Mendes, Ronaldo Menezes, Giuseppe Mangioni

  • Series Title: Springer Proceedings in Complexity

  • DOI: https://doi.org/10.1007/978-3-031-28276-8

  • Publisher: Springer Cham

  • eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-28275-1Published: 30 March 2023

  • Softcover ISBN: 978-3-031-28278-2Due: 30 April 2023

  • eBook ISBN: 978-3-031-28276-8Published: 29 March 2023

  • Series ISSN: 2213-8684

  • Series E-ISSN: 2213-8692

  • Edition Number: 1

  • Number of Pages: VI, 169

  • Number of Illustrations: 4 b/w illustrations, 51 illustrations in colour

  • Topics: Complex Systems, Graph Theory, Computer Science, general

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