Social Network Analysis

History, Theory and Methodology
1. Auflage 2011
ISBN: 978-1-4129-4715-2
Verlag: SAGE Publishing Ltd

Buch, Englisch, 272 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 478 g

We live in a world that is paradoxically both small and vast; each of us is embedded in local communities and yet we are only a few 'links' away from anyone else in the world.

This engaging book represents these interdependencies' positive and negative consequences, their multiple effects and the ways in which a local occurrence in one part of the world can directly affect the rest. Then it demonstrates precisely how these interactions and relationships form.

This is a book for the social network novice learning how to study, think about and analyse social networks; the intermediate user, not yet familiar with some of the newer developments in the field; and the teacher looking for a range of exercises, as well as an up-to-date historical account of the field.

It is divided into three clear sections:

1. historical & Background Concepts

2. Levels of Analysis

3. Advances, Extensions and Conclusions

The book provides a full overview of the field - historical origins, common theoretical perspectives and frameworks; traditional and current analytical procedures and fundamental mathematical equations needed to get a foothold in the field.

Autoren/Hrsg.

Prell, Christina

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziale Gruppen/Soziale Themen Sozialisation, Soziale Interaktion, Sozialer Wandel
• Sozialwissenschaften Soziologie | Soziale Arbeit Spezielle Soziologie Wirtschaftssoziologie, Arbeitssoziologie, Organisationssoziologie

Inhaltsverzeichnis

Introduction: What Are Social Networks?

PART ONE: BACKGROUND UNDERSTANDING

Becoming Familiar with Social Networks

A Brief History of Social Network Analysis

How to Study Social Networks, from Theory to Design

PART TWO: LEVELS OF ANALYSIS
Actor Level in Complete Networks
Actor Level in Ego Networks
Dyad and Triad Levels

Subgroups Level
Network Level
Position and Roles Analysis
PART THREE: Advances, Extensions and Conclusions
Statistical Models for Social Networks
Conclusions and Future of the Field
Appendices
Appendix 1: Getting Started with UCINET
Appendix 2: Exponential Random Graph Modelling and Longitudinal Modelling through Siena
Appendix 3: Calculating Probability for Transitivity Using Actor-Based Models