Analyzing Social Networks Using R (SAGE Publications)
Friday, 24 June 2022

This book introduces network research in R, walking the reader through every step of doing social network analysis. Drawing together research design, data collection and data analysis, Stephen Borgatti et al explain the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation.

It presents an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation.

Author: Stephen Borgatti, Martin Everett, Jeffrey Johnson and Filip Agneessens
Publisher: SAGE Publications Ltd
Date: June 2022
Pages: 384
ISBN: 978-1529722475
Print: 1529722470
Kindle: B09YMFBVX2
Audience: data analysts
Level: Intermediate
Category: Data Science

For recommendations of R books that the I Programmer team has reviewed, see Really Good R Books, the latest addition to our Programmer's Bookshelf section.

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Modern Software Engineering (Addison-Wesley)

Author: David Farley
Pages: 256
ISBN: 978-0137314911
Print:0137314914
Kindle: B09GG6XKS4
Audience: Software Engineers
Rating: 3.5
Reviewer: Kay Ewbank

This book is subtitled 'doing what works to build better software faster' - does it teach you how to achieve that?



Principled Programming

Author: Tim Teitelbaum
Publisher: DateTree Press
Date: March 2023
Pages: 429
ISBN: 978-8987744109
Print: B0BZF8R467
Audience: General
Rating: 5
Reviewer: Mike James
Principled Programming - what else would you want to do?


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