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Cities as Spatial and Social Networks

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Cover of 'Cities as Spatial and Social Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Cities as Social and Spatial Networks
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    Chapter 2 Planning as Computational Intelligence in Complex Socio-spatial Systems
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    Chapter 3 Cities as Spatial and Social Networks: Towards a Spatio-Socio-Semantic Analysis Framework
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    Chapter 4 Optimal Hub-Spoke Network Design with Hub Reroute and Point-Point Connection: A Physical Perspective with Social Relevance
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    Chapter 5 Spatial Characteristics of Social Networks
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    Chapter 6 A Social and Spatial Network Approach to Understanding Beliefs and Behaviors of Farmers Facing Land Development in Delhi, India
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    Chapter 7 An Interdisciplinary Socio-spatial Approach Towards Studying Identity Constructions in Multicultural Urban Spaces
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    Chapter 8 Evaluating China’s Investment Network and Mega-regions
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    Chapter 9 Exploring Spatial Relationships in the Pearl River Delta
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    Chapter 10 Urban Networks of Leisure Activities: Using Douban Event to Measure Interaction in the Megacity Region of the Pearl River Delta
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    Chapter 11 Reorganisation of the Spatial Economic System in a Population Decreasing Region
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    Chapter 12 Socio-spatial Network Structures in Border Regions: West and East Borders of Turkey
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    Chapter 13 Outlook and Next Steps: Integrating Social Network and Spatial Analyses for Urban Research in the New Data Environment
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Title
Cities as Spatial and Social Networks
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-319-95351-9
ISBNs
978-3-31-995350-2, 978-3-31-995351-9
Editors

Xinyue Ye, Xingjian Liu

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The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 36%
Student > Master 4 14%
Lecturer 3 11%
Student > Doctoral Student 2 7%
Professor > Associate Professor 2 7%
Other 4 14%
Unknown 3 11%
Readers by discipline Count As %
Computer Science 7 25%
Social Sciences 4 14%
Environmental Science 2 7%
Economics, Econometrics and Finance 2 7%
Earth and Planetary Sciences 2 7%
Other 6 21%
Unknown 5 18%