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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 12: Evolution of Apache Open Source Software
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Citations

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8 Mendeley
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Chapter title
Evolution of Apache Open Source Software
Chapter number 12
Book title
Dynamics On and Of Complex Networks
Published in
ADS, January 2009
DOI 10.1007/978-0-8176-4751-3_12
Book ISBNs
978-0-8176-4750-6, 978-0-8176-4751-3
Authors

Haoran Wen, Raissa M. D’Souza, Zachary M. Saul, Vladimir Filkov

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 13%
Switzerland 1 13%
Unknown 6 75%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 50%
Professor 2 25%
Other 1 13%
Student > Master 1 13%
Readers by discipline Count As %
Computer Science 5 63%
Linguistics 1 13%
Agricultural and Biological Sciences 1 13%
Physics and Astronomy 1 13%

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