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Complex Networks XIII

Proceedings of the 13th Conference on Complex Networks, CompleNet 2022

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Diogo Pacheco

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

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  2. Andreia Sofia Teixeira

    1. LASIGE and Department of Informatics, Faculty of Sciences, Lisbon, Portugal

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  3. Hugo Barbosa

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

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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. Dipartimento di Ingegneria Elettrica, Elettronica e Informatica, University of Catania, Catania, Italy

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  • Contains contributions presented at the 13th International Conference on Complex Networks
  • Aims to explore and celebrate this interdisciplinary nature of complex networks
  • Discusses ideas and findings about all types of networks

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

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About this book

This book contains contributions presented at the 13th International Conference on Complex Networks (CompleNet), April 19–22, 2022. 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 of networks, from biological to technological and to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate.


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Table of contents (9 papers)

  1. Front Matter

    Pages i-ix
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  2. Targeted Attacks on the World Air Transportation Network: Impact on Its Regional Structure

    • Issa Moussa Diop, Chantal Cherifi, Cherif Diallo, Hocine Cherifi
    Pages 1-13

  3. Measuring Equality and Hierarchical Mobility on Abstract Complex Networks

    • Matthew Russell Barnes, Vincenzo Nicosia, Richard G. Clegg
    Pages 15-28

  4. Broadcast Graphs with Nodes of Limited Memory

    • Saber Gholami, Hovhannes A. Harutyunyan
    Pages 29-42

  5. Investigating the Origins of Fractality Based on Two Novel Fractal Network Models

    • EnikÅ‘ Zakar-Polyák, Marcell Nagy, Roland Molontay
    Pages 43-54

  6. A Data-Driven Approach to Cattle Epidemic Modelling Under Uncertainty

    • Sima Farokhnejad, Denis Cardoso, Christiane Rocha, Angélica S. da Mata, Ronaldo Menezes
    Pages 55-67

  7. Building a Reliable, Dynamic and Temporal Synthetic Model of the World Trade Web

    • Sean Kennedy, Michael Wish, Philip Smith, James Sherrell, William Shields, Ralucca Gera
    Pages 69-82

  8. Co-Attention Based Multi-contextual Fake News Detection

    • Paritosh Kapadia, Akrati Saxena, Bhaskarjyoti Das, Yulong Pei, Mykola Pechenizkiy
    Pages 83-95

  9. Correlation Financial Networks of an Unstable Stock Market: Empirical Study

    • Sergei Sidorov, Alexey Faizliev, Vladimir Balash, Dmitriy Melnichuk, Alexey Grigoriev
    Pages 97-108

  10. Extracting Characteristic Areas Based on Topic Distribution over Proximity Tree

    • Takayasu Fushimi, Emi Matsuo
    Pages 109-120

  11. Back Matter

    Pages 121-122
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Editors and Affiliations

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

    Diogo Pacheco, Hugo Barbosa, Ronaldo Menezes

  • LASIGE and Department of Informatics, Faculty of Sciences, Lisbon, Portugal

    Andreia Sofia Teixeira

  • Dipartimento di Ingegneria Elettrica, Elettronica e Informatica, University of Catania, Catania, Italy

    Giuseppe Mangioni

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