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Challenges in Social Network Research

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Cover of 'Challenges in Social Network Research'

Table of Contents

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    Book Overview
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    Chapter 1 Corrected Overlap Weight and Clustering Coefficient
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    Chapter 2 Bottom-Up Collegiality, Top-Down Collegiality, or Inside-Out Collegiality? Analyses of Multilevel Networks, Institutional Entrepreneurship and Laboratories for Social Change
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    Chapter 3 Socio-Cultural Cognitive Mapping to Identify Communities and Latent Networks
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    Chapter 4 Bootstrapping the Gini Index of the Network Degree: An Application for Italian Corporate Governance
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    Chapter 5 Association Rules and Network Analysis for Exploring Comorbidity Patterns in Health Systems
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    Chapter 6 A Mixture Model Approach for Clustering Bipartite Networks
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    Chapter 7 A DEA-Based Network Formation Model. Micro and Macro Analysis
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    Chapter 8 Networks and Context: Algorithmic Challenges for Context-Aware Social Network Research
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    Chapter 9 Unraveling Innovation Networks in Conservation Agriculture Using Social Network Analysis
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    Chapter 10 Mapping Informal Organization Through Urban Activism: The Case of Self-Organized Spaces in the City of Naples
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    Chapter 11 The Paths of the Italian Young Poets. A Social Network Analysis of the Contemporary Poetic Field
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    Chapter 12 Multilayer Network Analysis of Innovation Intermediaries’ Activities
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    Chapter 13 Inter-Organizational Networks and Third Sector: Emerging Features from Two Case Studies in Southern Italy
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Title
Challenges in Social Network Research
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-31463-7
ISBNs
978-3-03-031462-0, 978-3-03-031463-7
Editors

Ragozini, Giancarlo, Vitale, Maria Prosperina

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 11%
Student > Ph. D. Student 2 11%
Other 1 6%
Lecturer > Senior Lecturer 1 6%
Student > Master 1 6%
Other 0 0%
Unknown 11 61%
Readers by discipline Count As %
Social Sciences 3 17%
Agricultural and Biological Sciences 2 11%
Business, Management and Accounting 1 6%
Computer Science 1 6%
Mathematics 1 6%
Other 0 0%
Unknown 10 56%