Dynamics On and Of Complex Networks

Applications to Biology, Computer Science, and the Social Sciences

  • Niloy  Ganguly
  • Andreas Deutsch
  • Animesh Mukherjee

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Biological Sciences

    1. Front Matter
      Pages 1-1
    2. Madalena Chaves, Thomas Eissing, Frank Allgöwer
      Pages 19-33
    3. Andreas Beyer
      Pages 35-56
    4. Samit Bhattacharyya, Somdatta Sinha
      Pages 57-72
    5. Sandeep Krishna, Mogens H. Jensen, Kim Sneppen
      Pages 73-93
  3. Social Sciences

    1. Front Matter
      Pages 96-96
    2. Johannes Bjell, Geoffrey Canright, Kenth Engø-Monsen, Valencia P. Remple
      Pages 97-116
    3. Anirban Banerjee, Jürgen Jost
      Pages 117-132
    4. Monojit Choudhury, Animesh Mukherjee
      Pages 145-166
    5. Chris Biemann, Uwe Quasthoff
      Pages 167-185
  4. Information Sciences

    1. Front Matter
      Pages 188-188
    2. Haoran Wen, Raissa M. D’Souza, Zachary M. Saul, Vladimir Filkov
      Pages 199-215
    3. Gourab Ghoshal
      Pages 217-236
    4. Yakir Berchenko, Yael Artzy-Randrup, Mina Teicher, Lewi Stone
      Pages 237-252
    5. Bivas Mitra
      Pages 253-274
    6. Fernando Peruani
      Pages 275-293
  5. Back Matter
    Pages 295-305

About this book


This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific disciplines. Almost any large-scale system, either naturally occurring or man-made, can be viewed as a complex network of interacting entities dynamically evolving over time. Therefore, the theories related to complex networks are increasingly being used by researchers for their usefulness in harnessing the most difficult problems of a particular discipline.


The book is a collection of surveys and cutting-edge research contributions exploring the interdisciplinary relationship of dynamics on and of complex networks. Towards this goal, the work is thematically organized into three main sections: Part I studies the application of complex networks to biological problems; Part II focuses on social networks; and Part III is an overview of networks prevalent in the information sciences.


Specific topics and features include:


* Comprehensive and concise presentation of current research from experts in various disciplines compiled in one volume


* Relevant reviews of important work in the field (8 chapters) giving the reader an up-to-date picture of the state-of-the-art


* Independent research reports (8 chapters) providing clear conceptions of how complex networks can be extremely useful to deal with difficult problems in a variety of disciplines


* Coverage of complex networks found in nature—genetic pathways, ecological networks, linguistic systems, and social systems—as well as man-made systems such as the World Wide Web and peer-to-peer networks


* A glossary of essential terms related to complex networks for quick and easy reference


The contributed chapters in this volume are intended to promote cross-fertilization in several research areas, and will be valuable to newcomers in the field, experienced researchers, practitioners, and graduate students interested in systems exhibiting an underlying complex network structure in disciplines such as computer science, biology, statistical physics, nonlinear dynamics, linguistics, and the social sciences.


Graph Statistical Physics World Wide Web biological networks complex network complex networks ecological networks genetic pathways linguistic systems networks in information sciences nonlinear dynamics peer-to-peer networks social networks

Editors and affiliations

  • Niloy  Ganguly
  • Andreas Deutsch
  • Animesh Mukherjee

There are no affiliations available

Bibliographic information