Skip to main content
  • Textbook
  • © 2020

Fractal Dimensions of Networks

Authors:

  • Presentation of a unified view of fractal dimensions and the relationship between computing these dimensions for geometric objects and computing them for networks
  • A historical view of the different dimensions, starting with Euclid, presented in a form that is not overly mathematical
  • Many applications of the methods are discussed in a broad range of fields; from art to biology, cosmology to food processing, to marine science, neurology, etc.
  • Many examples are provided to illustrate the computational methods
  • Includes exercises throughout, ranging in difficulty from simple to research level

Buy it now

Buying options

eBook USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 99.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (23 chapters)

  1. Front Matter

    Pages I-XX
  2. Introduction

    • Eric Rosenberg
    Pages 1-15
  3. Networks: Introductory Material

    • Eric Rosenberg
    Pages 17-41
  4. Fractals: Introductory Material

    • Eric Rosenberg
    Pages 43-59
  5. Topological and Box Counting Dimensions

    • Eric Rosenberg
    Pages 61-82
  6. Hausdorff, Similarity, and Packing Dimensions

    • Eric Rosenberg
    Pages 83-106
  7. Computing the Box Counting Dimension

    • Eric Rosenberg
    Pages 107-129
  8. Network Box Counting Dimension

    • Eric Rosenberg
    Pages 131-144
  9. Network Box Counting Heuristics

    • Eric Rosenberg
    Pages 145-175
  10. Correlation Dimension

    • Eric Rosenberg
    Pages 177-194
  11. Computing the Correlation Dimension

    • Eric Rosenberg
    Pages 195-219
  12. Network Correlation Dimension

    • Eric Rosenberg
    Pages 221-246
  13. Dimensions of Infinite Networks

    • Eric Rosenberg
    Pages 247-266
  14. Similarity Dimension of Infinite Networks

    • Eric Rosenberg
    Pages 267-278
  15. Information Dimension

    • Eric Rosenberg
    Pages 279-303
  16. Network Information Dimension

    • Eric Rosenberg
    Pages 305-324
  17. Generalized Dimensions and Multifractals

    • Eric Rosenberg
    Pages 325-364
  18. Multifractal Networks

    • Eric Rosenberg
    Pages 365-390
  19. Generalized Hausdorff Dimensions of Networks

    • Eric Rosenberg
    Pages 391-411
  20. Lacunarity

    • Eric Rosenberg
    Pages 413-424

About this book

Current interest in fractal dimensions of networks is the result of more than a century of previous research on dimensions. Fractal Dimensions of Networks  ties the theory and methods for computing fractal dimensions of networks to the “classic” theory of dimensions of geometric objects.

The goal of the book is to provide a unified treatment of fractal dimensions of sets and networks.  Since almost all of the major concepts in fractal dimensions originated in the study of sets, the book achieves this goal by first clearly presenting, with an abundance of examples and illustrations, the theory and algorithms for sets, and then showing how the theory and algorithms have been applied to networks. Thus, the book presents the classical theory and algorithms for the box counting dimension for sets, and then presents the box counting dimension for networks. All the major fractal dimensions are studied, e.g., the correlation dimension, the information dimension, the Hausdorff dimension, the multifractal spectrum, as well as many lesser known dimensions.  Algorithm descriptions are accompanied by worked examples, many applications of the methods are presented, and many exercises, ranging in difficulty from easy to research level, are included.


Authors and Affiliations

  • AT&T Labs, Middletown, USA

    Eric Rosenberg

About the author

Eric Rosenberg has taught undergraduate and graduate courses in modelling and optimization at Princeton University, New Jersey Institute of Technology, and Rutgers University. He recently retired from AT&T Labs in Middletown, New Jersey, and has joined the faculty of Georgian Court University in Lakewood, New Jersey.

He received a B.A. in Mathematics from Oberlin College and a Ph.D. in Operations Research from Stanford University, and has authored or co-authored 19 patents and has published in the areas of convex analysis and nonlinearly constrained optimization, computer aided design of integrated circuits and printed wire boards, telecommunications network design and routing, and fractal dimensions of networks.

Dr. Rosenberg is the author of A Primer of Multicast Routing, and A Survey of Fractal Dimensionsof Networks, both published by Springer.

New research and applications relating to fractal dimensions of networks can be sent to Dr. Rosenberg at FractalDimensionsOfNetworks@gmail.com.

Bibliographic Information

Buy it now

Buying options

eBook USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 99.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access