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  Studying Social Networks: A Guide to Empirical Research

Hennig, M., Brandes, U., Pfeffer, J., & Mergel, I. (2012). Studying Social Networks: A Guide to Empirical Research. Frankfurt a.M.: Campus Verlag.

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 Creators:
Hennig, Marina1, Author
Brandes, Ulrik2, Author
Pfeffer, Jürgen3, Author
Mergel, Ines4, Author
Krempel, Lothar5, Contributor           
Affiliations:
1Johannes Gutenberg-University Mainz, Germany, ou_persistent22              
2University of Konstanz, Germany, ou_persistent22              
3Vienna University of Technology, Austria, ou_persistent22              
4Maxwell School of Citizenship and Public Affairs, Syracuse University, NY, USA, ou_persistent22              
5Wissenschaft, Technik und Innovationssysteme, MPI for the Study of Societies, Max Planck Society, ou_1214559              

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 Abstract: This textbook provides an introduction to the process of empirical network research. In an action-oriented approach, it features explicated learning goals, numerous reference examples, and exercises that facilitate successful learning. Integrating their different disciplinary perspectives, the authors address an interdisciplinary audience of teachers, researchers, and practitioners alike.

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Language(s): eng - English
 Dates: 2012
 Publication Status: Issued
 Pages: 218
 Publishing info: Frankfurt a.M. : Campus Verlag
 Table of Contents: Preface
How to Use this Book
1. Introduction
1.1 The Construction of Social Networks
1.2 Social Network Studies
1.2.1 The Community Question
1.2.2 Viral Marketing
1.2.3 Corporate Networks
1.3 Exercises
2. Research Design
2.1 Social Networks
2.2 Networks as Variables
2.2.1 Explanatory Variables
2.2.2 Dependent Variables
2.3 Typology of Networks
2.3.1 Complete Networks
2.3.2 Ego-centered Networks
2.4 Longitudinal Network Studies
2.5 Summary
2.6 Exercises
3. Data
3.1 Kinds of Data
3.1.1 Units and Levels
3.1.2 Organization
3.1.3 Which Data for Which Type o f Network?
3.2 Data Collection
3.2.1 Sources
3.2.2 Boundary Specification
3.2.3 Alter Recall
3.3 Quality Issues
3.4 Ethical Considerations
3.5 Summary
3.6 Exercises
4. Analysis
4.1 Mathematical Representation
4.1.1 Graphs
4.1.2 Ego-Centered Networks
4.1.3 Two-Mode Networks
4.2 Indexing and Grouping
4.2.1 Dyads as the Unit of Analysis
4.2.2 Network Characteristics
4.2.3 Centrality
4.2.4 Cohesion
4.2.5 Roles
4.2.6 Blockmodeling
4.3 Modeling
4.3.1 Idealized Models
4.3.2 Exponential-Family Random Graph Models
4.4 Summary
4.5 Exercises
5. Visualization
5.1 Graphical Representation
5.1.1 Sociogram
5.1.2 Sociomatrix
5.1.3 Two-Mode Network Representations
5.2 Multivariate Information Visualization
5.2.1 Substance-Based Layout
5.2.2 Other Graphical Variables
5.3 Information Layering
5.3.1 Filtering
5.3.2 Level of Detail
5.3.3 Micro/Macro Reading
5.4 Summary
5.5 Exercises
6. Summary
List of Figures
List of Boxes
About the Authors
Bibliography
Index
 Rev. Type: -
 Identifiers: ISBN: 978-3-593-39763-4
 Degree: -

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