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  • © 2021

Complex Networks & Their Applications IX

Volume 2, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020

  • 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

Conference proceedings info: COMPLEX NETWORKS 2020 2020.

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Table of contents (56 papers)

  1. Front Matter

    Pages i-xxviii
  2. Machine Learning and Networks

    1. Front Matter

      Pages 1-1
    2. On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks

      • Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Roman Kern, Denis Helic
      Pages 15-26
    3. Detecting Geographical Competitive Structure for POI Visit Dynamics

      • Teru Fujii, Masahito Kumano, João Gama, Masahiro Kimura
      Pages 27-38
    4. Consensus Embeddings for Networks with Multiple Versions

      • Mengzhen Li, Mehmet Koyutürk
      Pages 39-52
    5. A Sentiment Enhanced Deep Collaborative Filtering Recommender System

      • Ahlem Drif, Sami Guembour, Hocine Cherifi
      Pages 66-78
    6. Experimental Evaluation of Train and Test Split Strategies in Link Prediction

      • Gerrit Jan de Bruin, Cor J. Veenman, H. Jaap van den Herik, Frank W. Takes
      Pages 79-91
    7. Enriching Graph Representations of Text: Application to Medical Text Classification

      • Alexios Mandalios, Alexandros Chortaras, Giorgos Stamou, Michalis Vazirgiannis
      Pages 92-103
    8. SaraBotTagger - A Light Tool to Identify Bots in Twitter

      • Carlos Magno Geraldo Barbosa, Lucas Gabriel da Silva Félix, Antônio Pedro Santos Alves, Carolina Ribeiro Xavier, Vinícius da Fonseca Vieira
      Pages 104-116
    9. Graph Auto-Encoders for Learning Edge Representations

      • Virgile Rennard, Giannis Nikolentzos, Michalis Vazirgiannis
      Pages 117-129
    10. Image Classification Using Graph-Based Representations and Graph Neural Networks

      • Giannis Nikolentzos, Michalis Thomas, Adín Ramírez Rivera, Michalis Vazirgiannis
      Pages 142-153
    11. Learning Parameters for Balanced Index Influence Maximization

      • Manqing Ma, Gyorgy Korniss, Boleslaw K. Szymanski
      Pages 167-177
  3. Mobility Networks

    1. Front Matter

      Pages 179-179
    2. Mobility Networks for Predicting Gentrification

      • Oliver Gardiner, Xiaowen Dong
      Pages 181-192
    3. Topological Analysis of Synthetic Models for Air Transportation Multilayer Networks

      • Marzena Fügenschuh, Ralucca Gera, Andrea Tagarelli
      Pages 206-217

Other Volumes

  1. Complex Networks & Their Applications IX

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. 

 

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

  • LE2I, 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 2, 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/10.1007/978-3-030-65351-4

  • 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: 978-3-030-65350-7Published: 05 January 2021

  • Softcover ISBN: 978-3-030-65353-8Published: 06 January 2022

  • eBook ISBN: 978-3-030-65351-4Published: 04 January 2021

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XXVIII, 715

  • Number of Illustrations: 33 b/w illustrations, 183 illustrations in colour

  • Topics: Complexity, Computational Intelligence, Graph Theory

Buy it now

Buying options

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