Skip to main content
SpringerLink
Log in

Complex Networks & Their Applications IX

Volume 1, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Rosa M. Benito

    1. Grupo de Sistemas Complejos, Universidad Politécnica de Madrid, Madrid, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Chantal Cherifi

    1. IUT Lumière, University of Lyon, Bron Cedex, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Hocine Cherifi

    1. LIB, UFR Sciences et Techniques, Université de Bourgogne, Dijon, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Esteban Moro

    1. Grupo Interdisciplinar de Sistemas Complejos, Departamento de Matematicas, Universidad Carlos III de Madrid, Leganés, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Luis Mateus Rocha

    1. Center for Social and Biomedical Complexity, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  6. Marta Sales-Pardo

    1. Department of Chemical Engineering, Universitat Rovira i Virgili, Tarragona, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents the latest research on complex networks and their applications
  • Gathers the edited proceedings of the Ninth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020), which was held in Madrid, Spain, on December 1–3, 2020
  • Offers state-of-the-art research on complex networks, including various research directions

Part of the book series: Studies in Computational Intelligence (SCI, volume 943)

Included in the following conference series:

Conference proceedings info: COMPLEX NETWORKS 2020 2020.

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

Access this book

Log in via an institution
eBook USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 329.99
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

Licence this eBook for your library

Institutional subscriptions

About this book

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the IX International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks. 

 


Similar content being viewed by others

Keywords

Table of contents (56 papers)

  1. Front Matter

    Pages i-xxvii
    Download chapter PDF

  2. Community Structure

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Method for Community Detection in Networks with Mixed Scale Features at Its Nodes

      • Soroosh Shalileh, Boris Mirkin
      Pages 3-14

    3. Efficient Community Detection by Exploiting Structural Properties of Real-World User-Item Graphs

      • Larry Yueli Zhang, Peter Marbach
      Pages 15-26

    4. Measuring Proximity in Attributed Networks for Community Detection

      • Rinat Aynulin, Pavel Chebotarev
      Pages 27-37

    5. Core Method for Community Detection

      • A. A. Chepovskiy, S. P. Khaykova, D. A. Leshchev
      Pages 38-50

    6. Effects of Community Structure in Social Networks on Speed of Information Diffusion

      • Nako Tsuda, Sho Tsugawa
      Pages 51-61

    7. Closure Coefficient in Complex Directed Networks

      • Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
      Pages 62-74

    8. Nondiagonal Mixture of Dirichlet Network Distributions for Analyzing a Stock Ownership Network

      • Wenning Zhang, Ryohei Hisano, Takaaki Ohnishi, Takayuki Mizuno
      Pages 75-86

    9. Spectral Clustering for Directed Networks

      • William R. Palmer, Tian Zheng
      Pages 87-99

    10. Composite Modularity and Parameter Tuning in the Weight-Based Fusion Model for Community Detection in Node-Attributed Social Networks

      • Petr Chunaev, Timofey Gradov, Klavdiya Bochenina
      Pages 100-111

    11. Maximal Labeled-Cliques for Structural-Functional Communities

      • Debajyoti Bera
      Pages 112-123

    12. Community Detection in a Multi-layer Network Over Social Media

      • Maham Mobin Sheikh, Rauf Ahmed Shams Malick
      Pages 124-136

    13. Using Preference Intensity for Detecting Network Communities

      • József Dombi, Sakshi Dhama
      Pages 137-151

    14. Community Detection Algorithm Using Hypergraph Modularity

      • Bogumił Kamiński, Paweł Prałat, François Théberge
      Pages 152-163

    15. Towards Causal Explanations of Community Detection in Networks

      • Georgia Baltsou, Anastasios Gounaris, Apostolos N. Papadopoulos, Konstantinos Tsichlas
      Pages 164-176

    16. A Pledged Community? Using Community Detection to Analyze Autocratic Cooperation in UN Co-sponsorship Networks

      • Cosima Meyer, Dennis Hammerschmidt
      Pages 177-188

    17. Distances on a Graph

      • Pierre Miasnikof, Alexander Y. Shestopaloff, Leonidas Pitsoulis, Alexander Ponomarenko, Yuri Lawryshyn
      Pages 189-199

    18. Local Community Detection Algorithm with Self-defining Source Nodes

      • Saharnaz Dilmaghani, Matthias R. Brust, Gregoire Danoy, Pascal Bouvry
      Pages 200-210

    19. Investigating Centrality Measures in Social Networks with Community Structure

      • Stephany Rajeh, Marinette Savonnet, Eric Leclercq, Hocine Cherifi
      Pages 211-222
Back to top

Other volumes

  1. Complex Networks & Their Applications IX

  2. Complex Networks & Their Applications IX

Editors and Affiliations

  • Grupo de Sistemas Complejos, Universidad Politécnica de Madrid, Madrid, Spain

    Rosa M. Benito

  • IUT Lumière, University of Lyon, Bron Cedex, France

    Chantal Cherifi

  • LIB, UFR Sciences et Techniques, Université de Bourgogne, Dijon, France

    Hocine Cherifi

  • Grupo Interdisciplinar de Sistemas Complejos, Departamento de Matematicas, Universidad Carlos III de Madrid, Leganés, Spain

    Esteban Moro

  • Center for Social and Biomedical Complexity, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, USA

    Luis Mateus Rocha

  • Department of Chemical Engineering, Universitat Rovira i Virgili, Tarragona, Spain

    Marta Sales-Pardo

Bibliographic Information

  • Book Title: Complex Networks & Their Applications IX

  • Book Subtitle: Volume 1, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020

  • Editors: Rosa M. Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis Mateus Rocha, Marta Sales-Pardo

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-030-65347-7

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-65346-0Published: 20 December 2020

  • Softcover ISBN: 978-3-030-65349-1Published: 20 December 2021

  • eBook ISBN: 978-3-030-65347-7Published: 19 December 2020

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XXVII, 685

  • Number of Illustrations: 30 b/w illustrations, 207 illustrations in colour

  • Topics: Complexity, Computational Intelligence, Graph Theory

Publish with us

Policies and ethics

Back to top

Search

Navigation