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Social Network Analysis and Education: Theory, Methods & Applications

Autor Brian V. Carolan
en Limba Engleză Paperback – 27 mar 2013
Social Network Analysis and Education: Theory, Methods & Applications provides an introduction to the theories, methods, and applications that constitute the social network perspective. Unlike more general texts, this applied title is designed for those current and aspiring educational researchers learning how to study, conceptualize, and analyze social networks. Brian V. Carolan's main intent is to encourage you to consider the social network perspective in light of your emerging research interests and evaluate how well this perspective illuminates the social complexities surrounding educational phenomena. Relying on diverse examples drawn from the educational research literature, this book makes explicit how the theories and methods associated with social network analysis can be used to better describe and explain the social complexities surrounding varied educational phenomena.
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Specificații

ISBN-13: 9781412999472
ISBN-10: 1412999472
Pagini: 344
Ilustrații: Illustrations
Dimensiuni: 187 x 232 x 17 mm
Greutate: 0.57 kg
Ediția:First Edition
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States

Recenzii

“I have no doubt that this text is a groundbreaking addition to the knowledge of this particular field.”
“I value the way the author has conceptualized a very broad field and has organized it into a coherent, cohesive text. I think the weaving in of specific examples is key to the work’s success and will make the book stand apart.”
“The writing style makes network theory and methods accessible to researchers who have limited experience in conducting network analysis.”

Cuprins

Part I. Theory and Concepts
Chapter 1. The Social Network Perspective and Educational Research
Chapter 2. Historical, Theoretical, and Analytical Foundations
Chapter 3. Basic Concepts
Part II. Methods and Measures
Chapter 4. Collecting and Managing Network Data
Chapter 5. Structural Measures for Complete Networks
Chapter 6. Groups and Positions in Complete Networks
Chapter 7. Measures for Egocentric Networks
Part III. Applications and Examples
Chapter 8. An Introduction to Statistical Inference with Network Data
Chapter 9. Network Data and Statistical Models
Chapter 10. Social Capital
Chapter 11. Diffusion
Chapter 12. Looking Back, Looking Ahead

Notă biografică


Descriere

Provides an introduction to the major theories, methods and findings of social network analysis research and the applications from that research.