
Contents
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A Framework of Basic Models for Social Network Analysis at Different Levels A Framework of Basic Models for Social Network Analysis at Different Levels
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Network Antecedents at a Dyadic Level (Model 1.1) Network Antecedents at a Dyadic Level (Model 1.1)
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Network Consequences at a Dyadic Level (Model 1.2) Network Consequences at a Dyadic Level (Model 1.2)
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Network Emergence at the Nodal Level (Model 1.3) Network Emergence at the Nodal Level (Model 1.3)
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Network Consequences at the Nodal Level (Model 1.4) Network Consequences at the Nodal Level (Model 1.4)
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Network Emergence at a Group Level (Model 1.5) Network Emergence at a Group Level (Model 1.5)
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Network Consequences at a Group Level (Model 1.6) Network Consequences at a Group Level (Model 1.6)
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Variations and Extensions of the Six Basic Models Variations and Extensions of the Six Basic Models
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Network Mediation Models Network Mediation Models
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Network Moderation Models Network Moderation Models
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Network Coevolution Model Network Coevolution Model
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Multiple Groups and Multilevel Models for Dyadic and Nodal-Level Analysis Multiple Groups and Multilevel Models for Dyadic and Nodal-Level Analysis
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Generalizability Generalizability
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Group-Level Effects Group-Level Effects
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Cross-Level Interaction Cross-Level Interaction
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Macro-Micro-Macro Models Macro-Micro-Macro Models
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Conclusion Conclusion
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Acknowledgments Acknowledgments
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Notes Notes
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References References
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11 Dyadic, Nodal, and Group-Level Approaches to Study the Antecedents and Consequences of Networks: Which Social Network Models to Use and When?
Get accessFilip Agneessens is Associate Professor of Sociology and Social Research at the University of Trento and an Associate Member of the Department of Sociology/Nuffield College at the University of Oxford. He holds a PhD in Sociology from Ghent University. His research centers on social network analysis with a specific focus on methodology and applications in intraorganizational settings. He has coedited a special issue in Social Networks on “Advances in Two-Mode Social Network Analysis” (with Martin Everett) and on “Negative and Signed Tie Networks” (with Nicholas Harrigan and Giuseppe [Joe] Labianca).
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Published:15 December 2020
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Abstract
Social network analysis encompasses a variety of methods to study the social relations and social interactions between individual units in a group. This chapter offers an overview of the types of research questions that can be answered with social network analysis and discusses appropriate statistical methods and network sampling approaches to answer such questions. Six basic types of models are identified, based on two criteria: (1) whether the researchers are interested in the antecedents of networks and/or their consequences and (2) the appropriate level of analysis, in particular the dyadic, nodal, or group level. Extensions and variations of these six basic models are discussed, for example models where networks take on the role of mediator or moderator, as well as models that incorporate multiple levels of analysis and models that integrate network antecedents and network consequences simultaneously.
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