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Multilevel Network Analysis for the Social Sciences

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Cover of 'Multilevel Network Analysis for the Social Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 The Multiple Flavours of Multilevel Issues for Networks
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    Chapter 3 Synchronization Costs in the Organizational Society: Intermediary Relational Infrastructures in the Dynamics of Multilevel Networks
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    Chapter 4 Modeling Individual Outcomes Using a Multilevel Social Influence (MSI) Model: Individual Versus Team Effects of Trust on Job Satisfaction in an Organisational Context
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    Chapter 5 Multilevel Models for Multilevel Network Dependencies
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    Chapter 6 Multilevel Network Analysis Using ERGM and Its Extension
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    Chapter 7 Correspondence Analysis of Multirelational Multilevel Networks
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    Chapter 8 Role Sets and Division of Work at Two Levels of Collective Agency: The Case of Blockmodeling a Multilevel (Inter-individual and Inter-organizational) Network
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    Chapter 9 Comparing Fields of Sciences: Multilevel Networks of Research Collaborations in Italian Academia
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    Chapter 10 Market as a Multilevel System
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    Chapter 11 Multilevel Network Analysis for the Social Sciences
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    Chapter 12 Inter-organizational Network Influence on Long-Term and Short-Term Inter-individual Relationships: The Case of a Trade Fair for TV Programs Distribution in Sub-Saharan Africa
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    Chapter 13 Multilevel Bilateralism and Multilateralism: States’ Bilateral and Multilateral Fisheries Treaties and Their Secretariats
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    Chapter 14 Knowledge Sharing in Organizations: A Multilevel Network Analysis
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    Chapter 15 General Conclusion
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Title
Multilevel Network Analysis for the Social Sciences
Published by
Springer International Publishing, December 2015
DOI 10.1007/978-3-319-24520-1
ISBNs
978-3-31-924518-8, 978-3-31-924520-1
Authors

Lazega, Emmanuel, Snijders, Tom A. B.

Editors

Emmanuel Lazega, Tom A.B. Snijders

Twitter Demographics

The data shown below were collected from the profiles of 20 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 <1%
Sweden 1 <1%
Peru 1 <1%
Unknown 201 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 26%
Researcher 28 14%
Student > Master 24 12%
Student > Doctoral Student 17 8%
Professor > Associate Professor 12 6%
Other 36 18%
Unknown 35 17%
Readers by discipline Count As %
Social Sciences 67 33%
Business, Management and Accounting 18 9%
Environmental Science 13 6%
Psychology 12 6%
Economics, Econometrics and Finance 9 4%
Other 42 20%
Unknown 44 21%