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© 2017

Complex Networks & Their Applications V

Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016)

  • Hocine Cherifi
  • Sabrina Gaito
  • Walter Quattrociocchi
  • Alessandra Sala
Conference proceedings COMPLEX NETWORKS 2016 2016

Part of the Studies in Computational Intelligence book series (SCI, volume 693)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Network models

    1. Front Matter
      Pages 1-1
    2. Lisette Espín-Noboa, Florian Lemmerich, Markus Strohmaier, Philipp Singer
      Pages 3-16
    3. Christian L. Staudt, Michael Hamann, Ilya Safro, Alexander Gutfraind, Henning Meyerhenke
      Pages 17-28
    4. Alberto Cottica, Guy Melançon, Benjamin Renoust
      Pages 41-54
    5. Laila van Ments, Peter Roelofsma, Jan Treur
      Pages 55-67
  3. Network Measures

    1. Front Matter
      Pages 109-109
    2. Nikos Salamanos, Elli Voudigari, Emmanuel J. Yannakoudakis
      Pages 111-122
    3. Ziyaad Qasem, Marc Jansen, Tobias Hecking, H.Ulrich Hoppe
      Pages 123-134
    4. Sude Tavassoli, Katharina A. Zweig
      Pages 135-146
    5. Francesca Arrigo, Desmond J. Higham
      Pages 147-157
    6. Benjamin Renoust, Vivek Claver, Jean-François Baffier
      Pages 159-170
    7. Alexander Grimm, Claudio J. Tessone
      Pages 171-182
    8. Mareike Bockholt, Katharina A. Zweig
      Pages 183-195
    9. Raihana Mokhlissi, Dounia Lotfi, Joyati Debnath, Mohamed El Marraki
      Pages 197-208
    10. Brian Crawford, Ralucca Gera, Jeffrey House, Thomas Knuth, Ryan Miller
      Pages 209-221

About these proceedings

Introduction

This book highlights cutting-edge research in the field of network science, offering scientists, researchers and graduate students a unique opportunity to catch up on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the fifth International Workshop on Complex Networks & their Applications (COMPLEX NETWORKS 2016), which took place in Milan during the last week of November 2016. The carefully selected papers are divided into 11 sections reflecting the diversity and richness of research areas in the field. More specifically, the following topics are covered: Network models; Network measures; Community structure; Network dynamics; Diffusion, epidemics and spreading processes; Resilience and control; Network visualization; Social and political networks; Networks in finance and economics; Biological and ecological networks; and Network analysis.

Keywords

Statphys26 Complex Networks Complex Networks 2016 5th International Workshop on Complex Networks Networks & Applications

Editors and affiliations

  • Hocine Cherifi
    • 1
  • Sabrina Gaito
    • 2
  • Walter Quattrociocchi
    • 3
  • Alessandra Sala
    • 4
  1. 1.University of Burgundy DijonFrance
  2. 2.Computer Science DepartmentUniversity of Milan Computer Science DepartmentMilanItaly
  3. 3.IMT Lucca LuccaItaly
  4. 4.Blanchardstown Business and Tech ParkBell Labs-Nokia Blanchardstown Business and Tech ParkBlanchardstownIreland

Bibliographic information

  • Book Title Complex Networks & Their Applications V
  • Book Subtitle Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016)
  • Editors Hocine Cherifi
    Sabrina Gaito
    Walter Quattrociocchi
    Alessandra Sala
  • Series Title Studies in Computational Intelligence
  • Series Abbreviated Title Studies Comp.Intelligence
  • DOI https://doi.org/10.1007/978-3-319-50901-3
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-50900-6
  • Softcover ISBN 978-3-319-84517-3
  • eBook ISBN 978-3-319-50901-3
  • Series ISSN 1860-949X
  • Series E-ISSN 1860-9503
  • Edition Number 1
  • Number of Pages XX, 833
  • Number of Illustrations 71 b/w illustrations, 236 illustrations in colour
  • Topics Complexity
    Applications of Graph Theory and Complex Networks
    Artificial Intelligence
    Computational Intelligence
    Complex Systems
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