| Description |
1 online resource (x, 194 pages) : illustrations |
| Contents |
Introduction -- Social capital and small worlds: a primer -- Getting ego-nets -- Analysing ego-net data -- Narratives, typologies and case studies -- Multilevel models for cross-sectional ego-nets -- Statistical analysis of network dynamics |
| Summary |
The ego-net approach to social network analysis, which takes discrete individual actors and their contacts as its starting point, is one of the most widely used approaches in the field. This is the first textbook to take readers through each stage of ego-net research, from conception, through research design and data gathering to analysis. It starts with the basics, assuming no prior knowledge of social network analysis, but then moves on to introduce cutting edge innovations, covering both new statistical approaches to ego-net analysis and also the most recent thinking on mixing methods (quantitative and qualitative) to achieve depth and rigour. It is an absolute must for anybody wishing to explore the importance of networks |
| Bibliography |
Includes bibliographical references (pages 178-191) and index |
| Notes |
Print version record |
| Subject |
Social networks -- Research.
|
| Form |
Electronic book
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| Author |
Bellotti, Elisa, author
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Edwards, Gemma, author
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Everett, Martin G., 1955- author
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Koskinen, Johan, author
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Tranmer, Mark, author
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| ISBN |
1473911869 (electronic bk.) |
|
1473911877 |
|
1473927331 |
|
9781473911864 (electronic bk.) |
|
9781473911871 |
|
9781473927339 |
|
(hbk.) |
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(paperback) |
|
(hbk.) |
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(paperback) |
|
