Social Network Analysis for Ego-Nets

Social Network Analysis for Actor-Centred Networks

Nonfiction, Social & Cultural Studies, Social Science
Cover of the book Social Network Analysis for Ego-Nets by Elisa Bellotti, Dr. Gemma Edwards, Martin G. Everett, Dr Mark Tranmer, Nick Crossley, Dr. Johan Henrik Koskinen, SAGE Publications
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Author: Elisa Bellotti, Dr. Gemma Edwards, Martin G. Everett, Dr Mark Tranmer, Nick Crossley, Dr. Johan Henrik Koskinen ISBN: 9781473927339
Publisher: SAGE Publications Publication: July 27, 2015
Imprint: SAGE Publications Ltd Language: English
Author: Elisa Bellotti, Dr. Gemma Edwards, Martin G. Everett, Dr Mark Tranmer, Nick Crossley, Dr. Johan Henrik Koskinen
ISBN: 9781473927339
Publisher: SAGE Publications
Publication: July 27, 2015
Imprint: SAGE Publications Ltd
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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