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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JavaScript Crash Course (No Starch Press)

Author: Nick Morgan
Publisher: No Starch
Date: March 2024
Pages: 376
ISBN: 978-1718502260
Print: 1718502265
Kindle: B09JBF5K9F
Audience: Developers wanting to learn JavaScript
Rating: 4
Reviewer: Ian Elliot
JavaScript is still a very important language, so why not a crash course?



Machine Learning Q and AI (No Starch Press)

Author: Sebastian Raschka
Publisher: No Starch Press
Date: April 2024
Pages: 264
ISBN: 978-1718503762
Print: 1718503768
Kindle: B0CKKXCK3T
Audience: Developers interested in AI
Rating: 4
Reviewer: Mike James
Q and AI, a play on Q&A is a clever title, but is the book equally clever?


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