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Complex Networks IV

Proceedings of the 4th Workshop on Complex Networks CompleNet 2013

  • Gourab Ghoshal
  • Julia Poncela-Casasnovas
  • Robert Tolksdorf

Part of the Studies in Computational Intelligence book series (SCI, volume 476)

Table of contents

  1. Front Matter
    Pages 1-7
  2. Folke Mitzlaff, Martin Atzmueller, Gerd Stumme, Andreas Hotho
    Pages 13-25
  3. Leydi Viviana Montoya, Athen Ma, Raúl J. Mondragón
    Pages 27-38
  4. Haye Hinrichsen, Tobias Hoßfeld, Matthias Hirth, Phuoc Tran-Gia
    Pages 47-58
  5. Priya Saha, Ronaldo Menezes
    Pages 59-70
  6. Elenna R. Dugundji, Ate Poorthuis, Michiel van Meeteren
    Pages 81-92
  7. Hugo S. Barbosa-Filho, Fernando B. de Lima-Neto, Ronaldo Menezes
    Pages 101-108
  8. Bryan Perozzi, Christopher McCubbin, Spencer Beecher, J. T. Halbert
    Pages 133-144
  9. Maximilien Danisch, Jean-Loup Guillaume, Bénédicte Le Grand
    Pages 145-153
  10. Davide Cellai, James P. Gleeson
    Pages 165-172
  11. Marcos A. C. Oliveira-Júnior, Carmelo J. A. Bastos-Filho, Ronaldo Menezes
    Pages 173-184
  12. Justin Ruths, Derek Ruths
    Pages 185-193
  13. Back Matter
    Pages 195-195

About these proceedings

Introduction

A network is a mathematical object consisting of a set of points (called vertices or nodes) that are connected to each other in some fashion by lines (called edges). Turns out this simple description corresponds to a bewildering array of systems in the real world, ranging from technological ones such as the Internet and World Wide Web, biological networks such as that of connections of the nervous systems or blood vessels, food webs, protein interactions, infrastructural systems such as networks of roads, airports or the power-grid, to patterns of social acquaintance such as friendship, network of Hollywood actors, connections between business houses and many more.

Recent years have witnessed a substantial amount of interest within the scientific community in the properties of these networks. The emergence of the internet in particular, coupled with the widespread availability of inexpensive computing resources has facilitated studies ranging from large scale empirical analysis of networks in the real world, to the development of theoretical models and tools to explore the various properties of these systems. The study of networks is broadly interdisciplinary and central developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences.

This book brings together a collection of cutting-edge research in the field from a diverse array of researchers ranging from physicists to social scientists, and presents them in a coherent fashion, highlighting the strong interconnections between the different areas. Topics included are social networks and social media, opinion and innovation diffusion, syncronization, transportation networks and human mobility, as well as theory, modeling and metrics of Complex Networks.

Keywords

Complex Networks Computational Intelligence

Editors and affiliations

  • Gourab Ghoshal
    • 1
  • Julia Poncela-Casasnovas
    • 2
  • Robert Tolksdorf
    • 3
  1. 1.BostonUSA
  2. 2.Northwestern UniversityEvanstonUSA
  3. 3., Institut fuer InformatikFreie Universitaet BerlinBerlinGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-36844-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-36843-1
  • Online ISBN 978-3-642-36844-8
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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