© 2017

Complex Networks VIII

Proceedings of the 8th Conference on Complex Networks CompleNet 2017

  • Bruno Gonçalves
  • Ronaldo Menezes
  • Roberta Sinatra
  • Vinko Zlatic
Conference proceedings CompleNet 2017

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

Table of contents

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

    1. Front Matter
      Pages 1-1
    2. Shi Zhou, Ingemar J. Cox, Lars K. Hansen
      Pages 3-15
    3. Miguel E. P. Silva, Pedro Paredes, Pedro Ribeiro
      Pages 17-29
    4. Sude Tavassoli, Katharina A. Zweig
      Pages 31-43
  3. Community Structure

    1. Front Matter
      Pages 45-45
    2. Remy Cazabet, Pierre Borgnat, Pablo Jensen
      Pages 47-55
    3. R. Interdonato, A. Tagarelli, D. Ienco, A. Sallaberry, P. Poncelet
      Pages 57-66
    4. Tsuyoshi Murata, Takahiko Sugihara, Talel Abdessalem
      Pages 67-80
  4. Dynamics of Networks

    1. Front Matter
      Pages 93-93
    2. Mohammed Abufouda, Katharina A. Zweig
      Pages 119-131
  5. Applications of Network Science

    1. Front Matter
      Pages 133-133
    2. Yasutaka Mizui, Kyosuke Nobuto, Shigeyuki Miyagi, Osamu Sakai
      Pages 135-140
    3. Pivithuru Wijegunawardana, Vatsal Ojha, Ralucca Gera, Sucheta Soundarajan
      Pages 141-150
    4. S. M. Mahdi Seyednezhad, Ronaldo Menezes
      Pages 151-159
    5. Younis Al Rozz, Harith Hamoodat, Ronaldo Menezes
      Pages 161-173
    6. Andrey Trufanov, Nikolay Kinash, Alexei Tikhomirov, Olga Berestneva, Alessandra Rossodivita
      Pages 175-182

About these proceedings


This book collects the works presented at the 8th International Conference on Complex Networks (CompleNet) 2017 in Dubrovnik, Croatia, on March 21-24, 2017. CompleNet aims at bringing together researchers and practitioners working in areas related to complex networks. The past two decades has witnessed an exponential increase in the number of publications within this field. From biological systems to computer science, from economic to social systems, complex networks are becoming pervasive in many fields of science. It is this interdisciplinary nature of complex networks that CompleNet aims at addressing.

The last decades have seen the emergence of complex networks as the language with which a wide range of complex phenomena in fields as diverse as physics, computer science, and medicine (to name a few) can be properly described and understood. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as network controllability, social structure, online behavior, recommendation systems, and network structure.


Computational Intelligence Complex Networks COMPLENET Network Science Conference on Complex Networks network controllability recommendation systems complexity proceedings

Editors and affiliations

  • Bruno Gonçalves
    • 1
  • Ronaldo Menezes
    • 2
  • Roberta Sinatra
    • 3
  • Vinko Zlatic
    • 4
  1. 1.New York UniversityCenter for Data Science New York UniversityNew YorkUSA
  2. 2.BioComplex Laboratory, School of ComputingFlorida Institute of TechnologyMelbourneUSA
  3. 3.Center for Network Science and Mathematics DepartmentCentral European UniversityBudapestHungary
  4. 4.Rudjer Bošković InstituteTheoretical Physics DivisionZagrebCroatia

Bibliographic information