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Dynamics On and Of Complex Networks

Overview of attention for book
Cover of 'Dynamics On and Of Complex Networks'

Table of Contents

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    Book Overview
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    Chapter 1 From Network Structure to Dynamics and Back Again: Relating Dynamical Stability and Connection Topology in Biological Complex Systems
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    Chapter 2 Regulation of Apoptosis via the NFκB Pathway: Modeling and Analysis
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    Chapter 3 Network-Based Models in Molecular Biology
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    Chapter 4 Ecological Networks: Structure, Interaction Strength, and Stability
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    Chapter 5 Signaling and Feedback in Biological Networks
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    Chapter 6 Topographic Spreading Analysis of an Empirical Sex Workers’ Network
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    Chapter 7 Spectral Characterization of Network Structures and Dynamics
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    Chapter 8 Dynamics of Social Complex Networks: Some Insights into Recent Research
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    Chapter 9 The Structure and Dynamics of Linguistic Networks
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    Chapter 10 Networks Generated from Natural Language Text
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    Chapter 11 Dynamics On and Of Complex Networks
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    Chapter 12 Evolution of Apache Open Source Software
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    Chapter 13 Some New Applications of Network Growth Models
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    Chapter 14 Dynamics On and Of Complex Networks
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    Chapter 15 Technological Networks
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    Chapter 16 Advances in the Theory of Complex Networks
Attention for Chapter 3: Network-Based Models in Molecular Biology
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Citations

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32 Dimensions

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32 Mendeley
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Chapter title
Network-Based Models in Molecular Biology
Chapter number 3
Book title
Dynamics On and Of Complex Networks
Published in
ADS, January 2009
DOI 10.1007/978-0-8176-4751-3_3
Book ISBNs
978-0-8176-4750-6, 978-0-8176-4751-3
Authors

Andreas Beyer

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 3%
Professor > Associate Professor 1 3%
Other 1 3%
Unknown 29 91%
Readers by discipline Count As %
Mathematics 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Unknown 29 91%

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