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Complex Networks & Their Applications IX

Volume 2, 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

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  2. Chantal Cherifi

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

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  3. Hocine Cherifi

    1. LE2I, UFR Sciences et Techniques, Université de Bourgogne, Dijon, France

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  4. Esteban Moro

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

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  5. Luis Mateus Rocha

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

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  6. Marta Sales-Pardo

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

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  • 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 944)

Included in the following conference series:

Conference proceedings info: COMPLEX NETWORKS 2020 2020.

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Table of contents (56 papers)

  1. Front Matter

    Pages i-xxviii
    Download chapter PDF

  2. Machine Learning and Networks

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Structural Node Embedding in Signed Social Networks: Finding Online Misbehavior at Multiple Scales

      • Mark Heimann, Goran Murić, Emilio Ferrara
      Pages 3-14

    3. 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

    4. Detecting Geographical Competitive Structure for POI Visit Dynamics

      • Teru Fujii, Masahito Kumano, João Gama, Masahiro Kimura
      Pages 27-38

    5. Consensus Embeddings for Networks with Multiple Versions

      • Mengzhen Li, Mehmet Koyutürk
      Pages 39-52

    6. Graph Convolutional Network with Time-Based Mini-Batch for Information Diffusion Prediction

      • Hajime Miyazawa, Tsuyoshi Murata
      Pages 53-65

    7. A Sentiment Enhanced Deep Collaborative Filtering Recommender System

      • Ahlem Drif, Sami Guembour, Hocine Cherifi
      Pages 66-78

    8. 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

    9. Enriching Graph Representations of Text: Application to Medical Text Classification

      • Alexios Mandalios, Alexandros Chortaras, Giorgos Stamou, Michalis Vazirgiannis
      Pages 92-103

    10. 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

    11. Graph Auto-Encoders for Learning Edge Representations

      • Virgile Rennard, Giannis Nikolentzos, Michalis Vazirgiannis
      Pages 117-129

    12. Incorporating Domain Knowledge into Health Recommender Systems Using Hyperbolic Embeddings

      • Joel Peito, Qiwei Han
      Pages 130-141

    13. Image Classification Using Graph-Based Representations and Graph Neural Networks

      • Giannis Nikolentzos, Michalis Thomas, Adín Ramírez Rivera, Michalis Vazirgiannis
      Pages 142-153

    14. Graph-Based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles

      • M. Tarik Altuncu, Sophia N. Yaliraki, Mauricio Barahona
      Pages 154-166

    15. 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
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    2. Mobility Networks for Predicting Gentrification

      • Oliver Gardiner, Xiaowen Dong
      Pages 181-192

    3. Connecting the Dots: Integrating Point Location Data into Spatial Network Analyses

      • Shuto Araki, Aaron Bramson
      Pages 193-205

    4. Topological Analysis of Synthetic Models for Air Transportation Multilayer Networks

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

  1. Complex Networks & Their Applications IX

  2. Complex Networks & Their Applications IX

Keywords

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

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