Complex Networks

Results of the 2009 International Workshop on Complex Networks (CompleNet 2009)

  • Santo Fortunato
  • Giuseppe Mangioni
  • Ronaldo Menezes
  • Vincenzo Nicosia

Part of the Studies in Computational Intelligence book series (SCI, volume 207)

Table of contents

  1. Front Matter
  2. Session 1: Analysis of Real Networks

    1. Giorgio Fagiolo, Javier Reyes, Stefano Schiavo
      Pages 1-13
    2. Giuseppe Nunnari, Giuseppe Puglisi, Alessandro Bonforte, Alessandro Spata
      Pages 15-21
    3. Jelena Živković, Marija Mitrović, Bosiljka Tadić
      Pages 23-34
  3. Session 2: Community Structure

    1. Alexandre S. Cristino, Roberto F. S. Andrade, Luciano da Fontoura Costa
      Pages 35-46
    2. Dario Fiumicello, Alessandro Longheu, Giuseppe Mangioni
      Pages 63-71
    3. Biao Xiang, En-Hong Chen, Tao Zhou
      Pages 73-81
  4. Session 3: Network Modeling

    1. Ulrik Brandes, Jürgen Lerner, Uwe Nagel, Bobo Nick
      Pages 83-97
    2. Paulino Ribeiro Villas Boas, Francisco Aparecido Rodrigues, Luciano da Fontoura Costa
      Pages 115-126
  5. Session 4: Network Dynamics

    1. Slobodan Maletić, Milan Rajković
      Pages 127-134
    2. Paul Loya, Adam R. Lucas
      Pages 135-146
    3. Sergey Melnik, James P. Gleeson
      Pages 147-159
  6. Session 5: Applications

    1. Masatoshi Funabashi, David Chavalarias, Jean-Philippe Cointet
      Pages 161-171
    2. Kazuo Aoyama, Kazumi Saito, Takeshi Yamada, Naonori Ueda
      Pages 185-196
    3. Anna T. Lawniczak, Hao Wu, Bruno N. Di Stefano
      Pages 197-208
    4. Ben Collingsworth, Ronaldo Menezes
      Pages 209-223
  7. Back Matter

About this book


We live in a networked world. People are getting more and more interconnected through the new information and communication technologies, like mobile phones and the Internet.
The function of cells can be understood via networks of interacting proteins. Ecosystems can be described through networks of taxonomic relationships between species. The network representation has proved to be a powerful tool to understand the structure and the dynamics of complex systems. Since the pioneering discovery of the scale-free property of the World Wide Web by Albert, Jeong and Barabási, the study of complex networks has become the leading discipline in complexity science.
This volume is intended to bring to the attention of the scientific community recent advances in complex networks. It covers significant aspects of networks' structure and dynamics, both from the analytical and the empirical point of view. The works of this collection are contributed by a truly interdisciplinary community of scientists, from physicists to mathematicians, from computer scientists to engineers and economists.


Cyc Racter complex networks complex systems complexity evolution modeling

Editors and affiliations

  • Santo Fortunato
    • 1
  • Giuseppe Mangioni
    • 2
  • Ronaldo Menezes
    • 3
  • Vincenzo Nicosia
    • 4
  1. 1.Complex Networks Lagrange LaboratoryISI FoundationTorinoItaly
  2. 2.Dipartimento di Ingegneria, Informatica e delle TelecomunicazioniUniversità degli Studi di CataniaCataniaItaly
  3. 3.Department of Computer SciencesFlorida Institute of TechnologyMelbourneUSA
  4. 4.Laboratorio sui Sistemi ComplessiScuola Superiore di CataniaCataniaItaly

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-01205-1
  • Online ISBN 978-3-642-01206-8
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site