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A user's guide to network analysis in R

By: Luke, Douglas A.
Material type: materialTypeLabelBookSeries: Use R!. Publisher: Cham Springer 2015Description: xii, 238 p.ISBN: 9783319238821.Subject(s): R - Computer program language | Mathematical models | Mathematics | Statistics | Computer science - MathematicsDDC classification: 003.0727 Summary: Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statistical models of networks. As with all of the books in the Use R! series, each chapter contains extensive R code and detailed visualizations of datasets. Appendices will describe the R network packages and the datasets used in the book. An R package developed specifically for the book, available to readers on GitHub, contains relevant code and real-world network datasets as well. https://www.springer.com/in/book/9783319238821
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Books Vikram Sarabhai Library
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Slot 15 (0 Floor, West Wing) Non-fiction 003.0727 L8U8 (Browse shelf) Checked out Not for Issue 21/09/2019 199518

Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statistical models of networks. As with all of the books in the Use R! series, each chapter contains extensive R code and detailed visualizations of datasets. Appendices will describe the R network packages and the datasets used in the book. An R package developed specifically for the book, available to readers on GitHub, contains relevant code and real-world network datasets as well.

https://www.springer.com/in/book/9783319238821

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