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Complexity and Spatial Networks

Overview of attention for book
Cover of 'Complexity and Spatial Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Simplicity in Complex Spatial Systems
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    Chapter 2 The “Thermodynamics” of the City
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    Chapter 3 Macro and Micro Dynamics of the City Size Distribution
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    Chapter 4 A Morphogenetic Perspective on Spatial Complexity
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    Chapter 5 Algorithmic Complexity and Spatial Simplicity
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    Chapter 6 Polyplexity
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    Chapter 7 Complexity, Evolution and Learning
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    Chapter 8 Homophily, Conformity, and Noise in the (Co-)Evolution of Complex Social Networks
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    Chapter 9 Complex Evolution and Learning
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    Chapter 10 Proximity, Social Capital and the Simon Model of Stochastic Growth
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    Chapter 11 Evolutionary and Preferential Attachment Models of Demand Growth
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    Chapter 12 Modelling the Economy as an Evolving Space of Flows
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    Chapter 13 Effects of a Simple Mode Choice Model in a Large-Scale Agent-Based Transport Simulation
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    Chapter 14 Complex, Adaptive Systems, Through Time and Across Space
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    Chapter 15 Measuring and Visualizing Urban Network Dynamics
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    Chapter 16 Spatial Autocorrelation in Spatial Interaction
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    Chapter 17 Complex Networks Analysis of Commuting
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    Chapter 18 Spatial and Commuting Networks
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    Chapter 19 From Complexity to Simplicity
Attention for Chapter 9: Complex Evolution and Learning
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Citations

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Chapter title
Complex Evolution and Learning
Chapter number 9
Book title
Complexity and Spatial Networks
Published by
Springer, Berlin, Heidelberg, January 2009
DOI 10.1007/978-3-642-01554-0_9
Book ISBNs
978-3-64-201553-3, 978-3-64-201554-0
Authors

Massimo Ricottilli

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 100%
Readers by discipline Count As %
Economics, Econometrics and Finance 1 100%

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