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Complex Networks XI

Proceedings of the 11th Conference on Complex Networks CompleNet 2020

  • Conference proceedings
  • © 2020

Overview

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

Included in the following conference series:

Conference proceedings info: CompleNet-Live 2020.

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Table of contents (33 papers)

  1. Theory

  2. Processes

  3. Biomedical Applications

Keywords

About this book

This book aims to bring 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. This volume contains contributions presented at the 11th International Conference on Complex Networks (CompleNet) in Exeter, United Kingdom, 31 March - 3 April 2020. CompleNet is a venue for discussing ideas and findings about all types of networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate.

Editors and Affiliations

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

    Hugo Barbosa, Ronaldo Menezes

  • Dept de Fisica de la Materia Condensada, Univ de Zaragoza, Fac de Ciencias, Zaragoza, Spain

    Jesus Gomez-Gardenes

  • Center for Data Science, Inc., New York, USA

    Bruno Gonçalves

  • University of Catania, Catania, Italy

    Giuseppe Mangioni

  • Leibniz Institute for the Social Sciences, Cologne, Germany

    Marcos Oliveira

About the editors




Bibliographic Information

  • Book Title: Complex Networks XI

  • Book Subtitle: Proceedings of the 11th Conference on Complex Networks CompleNet 2020

  • Editors: Hugo Barbosa, Jesus Gomez-Gardenes, Bruno Gonçalves, Giuseppe Mangioni, Ronaldo Menezes, Marcos Oliveira

  • Series Title: Springer Proceedings in Complexity

  • DOI: https://doi.org/10.1007/978-3-030-40943-2

  • 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 2020

  • Hardcover ISBN: 978-3-030-40942-5Published: 22 February 2020

  • Softcover ISBN: 978-3-030-40945-6Published: 22 February 2021

  • eBook ISBN: 978-3-030-40943-2Published: 21 February 2020

  • Series ISSN: 2213-8684

  • Series E-ISSN: 2213-8692

  • Edition Number: 1

  • Number of Pages: XVI, 404

  • Number of Illustrations: 29 b/w illustrations, 134 illustrations in colour

  • Topics: Applications of Graph Theory and Complex Networks, Computational Social Sciences, Computational Intelligence, Complexity

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