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Complex Networks XI

Proceedings of the 11th Conference on Complex Networks CompleNet 2020

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

Conference series link(s): CompleNet-Live: International Conference on Complex Networks

Conference proceedings info: CompleNet-Live 2020.

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Table of contents (33 papers)

  1. Front Matter

    Pages i-xvi
  2. Theory

    1. Front Matter

      Pages 1-1
    2. Group Cohesion Assessment in Networks

      • V. Carchiolo, M. Grassia, A. Longheu, M. Malgeri, G. Mangioni
      Pages 16-25
    3. Node Classification with Bounded Error Rates

      • Pivithuru Wijegunawardana, Ralucca Gera, Sucheta Soundarajan
      Pages 26-38
    4. Assessment of the Effectiveness of Random and Real-Networks Based on the Asymptotic Entropy

      • Raihana Mokhlissi, Dounia Lotfi, Joyati Debnath, Mohamed El Marraki
      Pages 39-50
    5. Unsupervised Strategies to Network Topology Reconfiguration Optimization with Limited Link Addition

      • William R. Paiva, Paulo S. Martins, André F. de Angelis
      Pages 51-59
    6. Embedding of Signed Networks Focusing on Both Structure and Relation

      • Tsuyoshi Murata, Hiroki Arihara
      Pages 60-69
    7. Asymmetric Node Similarity Embedding for Directed Graphs

      • Stefan Dernbach, Don Towsley
      Pages 83-91
  3. Processes

    1. Front Matter

      Pages 105-105
    2. Zealotry and Influence Maximization in the Voter Model: When to Target Partial Zealots?

      • Guillermo Romero Moreno, Edoardo Manino, Long Tran-Thanh, Markus Brede
      Pages 107-118
    3. Collective Decision-Making on Triadic Graphs

      • Ilja Rausch, Yara Khaluf, Pieter Simoens
      Pages 119-130
    4. Reconstruction of Demand Shocks in Input-Output Networks

      • Chengyuan Han, Johannes Többen, Wilhelm Kuckshinrichs, Malte Schröder, Dirk Witthaut
      Pages 131-140
  4. Biomedical Applications

    1. Front Matter

      Pages 141-141
    2. Boolean Threshold Networks as Models of Genotype-Phenotype Maps

      • Chico Q. Camargo, Ard A. Louis
      Pages 143-155
    3. Connecting Neural Reconstruction Integrity (NRI) to Graph Metrics and Biological Priors

      • Elizabeth P. Reilly, Erik C. Johnson, Marisa J. Hughes, Devin Ramsden, Laurent Park, Brock Wester et al.
      Pages 182-193

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

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
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