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Table of contents

  1. Front Matter
  2. Pages 1-2
  3. P.L. Krapivsky, S. Redner
    Pages 3-22
  4. Reuven Cohen, Alejandro Fabian Rozenfeld, Nehemia Schwartz, Daniel ben-Avraham, Shlomo Havlin
    Pages 23-45
  5. Albert-László Barabási, Erzsébet Ravasz, Zoltán Oltvai
    Pages 46-65
  6. M.E.J. Newman, M. Girvan
    Pages 66-87
  7. Ramon Ferrer i Cancho, Ricard V. Solé
    Pages 114-126
  8. Marián Boguá, Romualdo Pastor-Satorras, Alessandro Vespignani
    Pages 127-147
  9. Guido Caldarelli, Diego Garlaschelli, Luciano Pietronero
    Pages 148-166
  10. H. Eugene Stanley, Shlomo Havlin
    Pages 167-174
  11. Alex Arenas, Antonio Cabrales, Albert Díaz-Guilera, Roger Guimerà, Fernando Vega-Redondo
    Pages 175-194
  12. Gerhard Schmid, Igor Goychuk, Peter Hänggi
    Pages 195-206

About this book

Introduction

Networks can provide a useful model and graphic image useful for the description of a wide variety of web-like structures in the physical and man-made realms, e.g. protein networks, food webs and the Internet. The contributions gathered in the present volume provide both an introduction to, and an overview of, the multifaceted phenomenology of complex networks. Statistical Mechanics of Complex Networks also provides a state-of-the-art picture of current theoretical methods and approaches.

Keywords

complex networks correlation evolution graphs mechanics network topology optimization

Bibliographic information

  • DOI https://doi.org/10.1007/b12331
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-40372-2
  • Online ISBN 978-3-540-44943-0
  • Series Print ISSN 0075-8450
  • Series Online ISSN 1616-6361
  • Buy this book on publisher's site
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