Complex Networks VI

Proceedings of the 6th Workshop on Complex Networks CompleNet 2015

  • Giuseppe Mangioni
  • Filippo Simini
  • Stephen Miles Uzzo
  • Dashun Wang
Conference proceedings

Part of the Studies in Computational Intelligence book series (SCI, volume 597)

Table of contents

  1. Front Matter
    Pages 1-9
  2. Fabrício Olivetti de França, Guilherme Palermo Coelho
    Pages 1-12
  3. Tanay Kumar Saha, Mohammad Al Hasan
    Pages 13-24
  4. Janaína Gomide, Hugo Kling, Daniel Figueiredo
    Pages 37-44
  5. Noé Gaumont, François Queyroi, Clémence Magnien, Matthieu Latapy
    Pages 57-64
  6. Keisuke Nakata, Tsuyoshi Murata
    Pages 79-89
  7. A. Hecker, C. J. Carstens, K. J. Horadam
    Pages 99-110
  8. Manas Agarwal, Rishi Ranjan Singh, Shubham Chaudhary, S. R. S. Iyengar
    Pages 111-121
  9. Xiaotian Wang, Chuang Zhang, Ming Wu
    Pages 123-129
  10. A. C. Leitão, A. P. Francisco, R. Abreu, S. Nunes, J. Rodrigues, P. Figueiredo et al.
    Pages 131-138
  11. Madhurima Nath, Stephen Eubank, Mina Youssef, Yasamin Khorramzadeh, Shahir Mowlaei
    Pages 139-148
  12. Shuwei Chen, David H. Glass, Mark McCartney
    Pages 171-178
  13. Dmitry Zinoviev, Zhen Zhu, Kate Li
    Pages 179-190
  14. Carolina Ribeiro Xavier, Vinícius da Fonseca Vieira, Nelson Francisco Favilla Ebecken, Alexandre Gonc̨alves Evsukoff
    Pages 201-208
  15. Catherine Cramer, Lori Sheetz, Hiroki Sayama, Paul Trunfio, H. Eugene Stanley, Stephen Uzzo
    Pages 209-218
  16. M. Oliveira, H. Barbosa-Filho, T. Yehle, S. White, R. Menezes
    Pages 219-230
  17. Back Matter
    Pages 231-232

About these proceedings


Elucidating the spatial and temporal dynamics of how things connect has become one of the most important areas of research in the 21st century. Network science now pervades nearly every science domain, resulting in new discoveries in a host of dynamic social and natural systems, including: how neurons connect and communicate in the brain, how information percolates within and among social networks, the evolution of science research through co-authorship networks, the spread of epidemics, and many other complex phenomena.

Over the past decade, advances in computational power have put the tools of network analysis in the hands of increasing numbers of scientists, enabling more explorations of our world than ever before possible. Information science, social sciences, systems biology, ecosystems ecology, neuroscience and physics all benefit from this movement, which combines graph theory with data sciences to develop and validate theories about the world around us.

This book brings together cutting-edge research from the network science field and includes diverse and interdisciplinary topics such as: modeling the structure of urban systems, behavior in social networks, education and learning, data network architecture, structure and dynamics of organizations, crime and terrorism, as well as network topology, modularity and community detection.


COMPLENET Complex Networks Computational Intelligence Network Science Networks

Editors and affiliations

  • Giuseppe Mangioni
    • 1
  • Filippo Simini
    • 2
  • Stephen Miles Uzzo
    • 3
  • Dashun Wang
    • 4
  1. 1.Dip. di Ingegneria Elettrica, Elettronica e InformaticaUniversity of CataniaCataniaItaly
  2. 2.Dept. of Engineering MathematicsUniversity of BristolCliftonUnited Kingdom
  3. 3.New York Hall of ScienceNew YorkUSA
  4. 4.College of Information Sciences and TechnologyPennsylvania State UniversityUniversity ParkUSA

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-16111-2
  • Online ISBN 978-3-319-16112-9
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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