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Birkhäuser

Dynamics On and Of Complex Networks

Applications to Biology, Computer Science, and the Social Sciences

  • Book
  • © 2009

Overview

Editors:
  1. Niloy Ganguly
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    You can also search for this editor in PubMed   Google Scholar

  2. Andreas Deutsch
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  3. Animesh Mukherjee
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  • A comprehensive and concise presentation of current research from experts in various disciplines compiled in one volume
  • Provides a clear conception of how complex networks can be extremely useful in dealing with difficult problems in a variety of disciplines
  • Covers 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
  • For a broad audience of graduate students, researchers and practitioners in computer science, biology, statistical physics, nonlinear dynamics, linguistics, and the social sciences
  • Includes supplementary material: sn.pub/extras

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Table of contents (16 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Biological Sciences

    1. Front Matter

      Pages 1-1
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    2. From Network Structure to Dynamics and Back Again: Relating Dynamical Stability and Connection Topology in Biological Complex Systems

      • Sitabhra Sinha
      Pages 3-17

    3. Regulation of Apoptosis via the NFκB Pathway: Modeling and Analysis

      • Madalena Chaves, Thomas Eissing, Frank Allgöwer
      Pages 19-33

    4. Network-Based Models in Molecular Biology

      • Andreas Beyer
      Pages 35-56

    5. Ecological Networks: Structure, Interaction Strength, and Stability

      • Samit Bhattacharyya, Somdatta Sinha
      Pages 57-72

    6. Signaling and Feedback in Biological Networks

      • Sandeep Krishna, Mogens H. Jensen, Kim Sneppen
      Pages 73-93

  3. Social Sciences

    1. Front Matter

      Pages 96-96
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    2. Topographic Spreading Analysis of an Empirical Sex Workers’ Network

      • Johannes Bjell, Geoffrey Canright, Kenth Engø-Monsen, Valencia P. Remple
      Pages 97-116

    3. Spectral Characterization of Network Structures and Dynamics

      • Anirban Banerjee, Jürgen Jost
      Pages 117-132

    4. Dynamics of Social Complex Networks: Some Insights into Recent Research

      • Sergi Lozano
      Pages 133-143

    5. The Structure and Dynamics of Linguistic Networks

      • Monojit Choudhury, Animesh Mukherjee
      Pages 145-166

    6. Networks Generated from Natural Language Text

      • Chris Biemann, Uwe Quasthoff
      Pages 167-185

  4. Information Sciences

    1. Front Matter

      Pages 188-188
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    2. Efficiency of Navigation in Indexed Networks

      • Petter Holme
      Pages 189-198

    3. Evolution of Apache Open Source Software

      • Haoran Wen, Raissa M. D’Souza, Zachary M. Saul, Vladimir Filkov
      Pages 199-215

    4. Some New Applications of Network Growth Models

      • Gourab Ghoshal
      Pages 217-236

    5. The Big Friendly Giant: The Giant Component in Clustered Random Graphs

      • Yakir Berchenko, Yael Artzy-Randrup, Mina Teicher, Lewi Stone
      Pages 237-252

    6. Technological Networks

      • Bivas Mitra
      Pages 253-274

    7. Advances in the Theory of Complex Networks

      • Fernando Peruani
      Pages 275-293
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Keywords

About this book

In the context of network theory, Complex networks can be de?ned as a collection of nodes connected by edges representing various complex int- actions among the nodes. Almost any large-scale system, be it natural or man-made, can be viewed as a complex network of interacting entities, which is dynamically evolving over time. Naturally occurring networks include - ological, ecological and social networks (e. g. , metabolic networks, gene r- ulatory networks, protein interaction networks, signaling networks, epidemic networks, food webs, scienti?c collaboration networks and acquaintance n- works), whereas man-made networks include communication networks and transportation infrastructures (e. g. , the Internet, the World Wide Web, pe- to-peer networks, power grids and airline networks). This edited volume is a sequel to the workshop Dynamics on and of C- plex Networks (http://www. cel. iitkgp. ernet. in/?eccs07/) held as a satellite event of the fourth European Conference on Complex Systems in Dresden, Germany from October 1–5, 2007. The primary aim of this workshop was to systematically explore the statistical dynamics “on” and “of” complex n- works that prevail across a large number of scienti?c disciplines. Dynamics on networks refers to the di?erent types of processes, for instance, prolife- tion and di?usion, that take place on networks. The functionality/e?ciency of these processes is strongly tied to the underlying topology as well as the dynamic behavior of the network.

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