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Social Network Analysis For Egonets Social Network Analysis For Actorcentred Networks 1st Edition Nick Crossley Elisa Bellotti Gemma Edwards Martin G Everett Johan Henrik Koskinen Mark Tranmer

Name: Social Network Analysis For Egonets Social Network Analysis For Actorcentred Networks 1st Edition Nick Crossley Elisa Bellotti Gemma Edwards Martin G Everett Johan Henrik Koskinen Mark Tranmer
SKU: BELL-51644354
Price: 31.00 USD
Availability: InStock
Rating: 4.7 (86 reviews)

SKU: BELL-51644354

Social Network Analysis For Egonets Social Network Analysis For Actorcentred Networks 1st Edition Nick Crossley Elisa Bellotti Gemma Edwards Martin G Everett Johan Henrik Koskinen Mark Tranmer

$ 31.00 ~~$ 45.00~~ (-31%)

4.7

86 reviews

Social Network Analysis For Egonets Social Network Analysis For Actorcentred Networks 1st Edition Nick Crossley Elisa Bellotti Gemma Edwards Martin G Everett Johan Henrik Koskinen Mark Tranmer instant download after payment.

Publisher: SAGE Publications, Limited

File Extension: EPUB

File size: 1.7 MB

Pages: 209

Author: Nick Crossley; Elisa Bellotti; Gemma Edwards; Martin G. Everett; Johan Henrik Koskinen; Mark Tranmer

ISBN: 9781473927339, 1473927331

Language: English

Year: 2015

Edition: 1

Product desciption

Social Network Analysis For Egonets Social Network Analysis For Actorcentred Networks 1st Edition Nick Crossley Elisa Bellotti Gemma Edwards Martin G Everett Johan Henrik Koskinen Mark Tranmer by Nick Crossley; Elisa Bellotti; Gemma Edwards; Martin G. Everett; Johan Henrik Koskinen; Mark Tranmer 9781473927339, 1473927331 instant download after payment.

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.