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Table of contents

  1. Front Matter
  2. Tomer Kalisky, Reuven Cohen, Daniel ben-Avraham, Shlomo Havlin
    Pages 3-34
  3. Sergei N. Dorogovtsev, Alexander V. Goltsev, José F.F. Mendes, Alexander N. Samukhin
    Pages 35-50
  4. Fan Chung, Linyuan Lu
    Pages 89-104
  5. Kwang-Il Goh, Eulsik Oh, Chul-Min Ghim, Byungnam Kahng, Doochul Kim
    Pages 105-125
  6. Lidia A. Braunstein, Sergey V. Buldyrev, Sameet Sreenivasan, Reuven Cohen, Shlomo Havlin, H. Eugene Stanley
    Pages 127-137
  7. Gábor Szabó, Mikko Alava, János Kertész
    Pages 139-162
  8. Illés Farkas, Imre Derényi, Gergely Palla, Tamás Vicsek
    Pages 163-187
  9. Eli Ben-Naim, Paul L. Krapivsky, Sidney Redner
    Pages 211-233
  10. Hasan Guclu, György Korniss, Zoltán Toroczkai, Mark A. Novotny
    Pages 255-275
  11. Matthew B. Hastings, Balázs Kozma
    Pages 277-297
  12. Ying-Cheng Lai, Adilson E. Motter, Takashi Nishikawa
    Pages 299-310
  13. Paul Ginsparg
    Pages 313-336
  14. Bernardo A. Huberman, Lada A. Adamic
    Pages 371-398
  15. Guido Caldarelli, Stefano Battiston, Diego Garlaschelli, Michele Catanzaro
    Pages 399-423
  16. Romualdo Pastor-Satorras, Alexei Vázquez, Alessandro Vespignani
    Pages 425-440
  17. Albert-László Barabási, Zoltán N. Oltvai, Stefan Wuchty
    Pages 443-457
  18. Back Matter

About this book

Introduction

This volume is devoted to applications of the techniques of statistical physics to the characterization and modeling of complex networks. The first two parts of the book concern theory and modeling of networks, while the last two parts survey applications to a wide variety of natural and artificial networks. The tutorial reviews that comprise this book are intended for students and newcomers to the field, and they also constitute a modern and comprehensive reference for experts. To this aim, all contributions have been carefully peer-reviewed not only for scientific content but also for self-consistency and readability.

Keywords

biological networks communication networks complex network complex networks information modeling network network dynamics social networks statistical physics

Bibliographic information

  • DOI https://doi.org/10.1007/b98716
  • Copyright Information Springer-Verlag Berlin/Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-22354-2
  • Online ISBN 978-3-540-44485-5
  • Series Print ISSN 0075-8450
  • Series Online ISSN 1616-6361
  • Buy this book on publisher's site