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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

  2. Chantal Cherifi

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

  3. Hocine Cherifi

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

  4. Esteban Moro

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

  5. Luis Mateus Rocha

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

  6. Marta Sales-Pardo

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

  • 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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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. 

 

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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
      Download chapter PDF

    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

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

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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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