Complex Networks IX

Proceedings of the 9th Conference on Complex Networks CompleNet 2018

  • Sean Cornelius
  • Kate Coronges
  • Bruno Gonçalves
  • Roberta Sinatra
  • Alessandro Vespignani
Conference proceedings CompleNet 2018

Part of the Springer Proceedings in Complexity book series (SPCOM)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Theory of Complex Networks

    1. Front Matter
      Pages 1-1
    2. Hend Alrasheed
      Pages 3-13
    3. Glencora Borradaile, Theresa Migler, Gordon Wilfong
      Pages 15-26
    4. Pedro Paredes, Pedro Ribeiro
      Pages 27-40
    5. Siddharth Pal, Feng Yu, Terrence J. Moore, Ram Ramanathan, Amotz Bar-Noy, Ananthram Swami
      Pages 51-63
  3. Graph Embeddings

    1. Front Matter
      Pages 85-85
    2. Rami Puzis, Zion Sofer, Dvir Cohen, Matan Hugi
      Pages 87-97
    3. Benedek Rozemberczki, Rik Sarkar
      Pages 99-107
  4. Network Dynamics

    1. Front Matter
      Pages 137-137
    2. Letizia Milli, Giulio Rossetti, Dino Pedreschi, Fosca Giannotti
      Pages 151-159
    3. Ariadne A. Costa, Mary Jean Amon, Olaf Sporns, Luis H. Favela
      Pages 161-171
  5. Network Science Applications

    1. Front Matter
      Pages 173-173
    2. Catherine Cramer, Ralucca Gera, Michaela Labriole, Hiroki Sayama, Lori Sheetz, Emma Towlson et al.
      Pages 175-183

About these proceedings


This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 9th International Conference on Complex Networks (CompleNet) 2018 in Boston, MA in March, 2018. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security.


complex networks social networks network science complexity science systems science group decision making brain and cellular activity network controllability

Editors and affiliations

  • Sean Cornelius
    • 1
  • Kate Coronges
    • 2
  • Bruno Gonçalves
    • 3
  • Roberta Sinatra
    • 4
  • Alessandro Vespignani
    • 5
  1. 1.Center for Complex Network ResearchNortheastern UniversityBostonUSA
  2. 2.Network Science InstituteNortheastern UniversityBostonUSA
  3. 3.Center for Data ScienceNew York UniversityNew YorkUSA
  4. 4.Center for Network Science, and Department of Mathematics and its ApplicationsCentral European UniversityBudapestHungary
  5. 5.Bouvé College of Health SciencesNortheastern UniversityBostonUSA

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-3-319-73197-1
  • Online ISBN 978-3-319-73198-8
  • Series Print ISSN 2213-8684
  • Series Online ISSN 2213-8692
  • About this book