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Statistical Mechanics of Complex Networks [electronic resource] / edited by Romualdo Pastor-Satorras, Miguel Rubi, Albert Diaz-Guilera.

Contributor(s): Material type: TextTextSeries: Lecture Notes in Physics ; 625Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2003Description: XII, 206 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540449430
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 530.1 23
LOC classification:
  • QC19.2-20.85
Online resources:
Contents:
Rate Equations Approach for Growing Networks -- Directed and Non-Directed Scale-Free Networks -- Mixing Patterns and Community Structure in Networks -- Effect of Accelerated Growth on Networks Dynamics -- Optimization in Complex Networks -- Epidemic Spreading in Complex Networks With Degree Correlations -- Food Web Structure and the Evolution of Complex Networks -- Social Networks: From Sexual Networks to Threatened Networks -- Search and Congestion in Complex Networks -- Membrane Clusters of Ion Channels.
In: Springer eBooksSummary: 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.
Item type: E-BOOKS
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Rate Equations Approach for Growing Networks -- Directed and Non-Directed Scale-Free Networks -- Mixing Patterns and Community Structure in Networks -- Effect of Accelerated Growth on Networks Dynamics -- Optimization in Complex Networks -- Epidemic Spreading in Complex Networks With Degree Correlations -- Food Web Structure and the Evolution of Complex Networks -- Social Networks: From Sexual Networks to Threatened Networks -- Search and Congestion in Complex Networks -- Membrane Clusters of Ion Channels.

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.

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