A User’s Guide to Network Analysis in R

Nonfiction, Science & Nature, Mathematics, Applied, Computers, Application Software
Cover of the book A User’s Guide to Network Analysis in R by Douglas Luke, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Douglas Luke ISBN: 9783319238838
Publisher: Springer International Publishing Publication: December 14, 2015
Imprint: Springer Language: English
Author: Douglas Luke
ISBN: 9783319238838
Publisher: Springer International Publishing
Publication: December 14, 2015
Imprint: Springer
Language: English

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.

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

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.

More books from Springer International Publishing

Cover of the book Digital Defense by Douglas Luke
Cover of the book Irregular Immigration in Southern Europe by Douglas Luke
Cover of the book Micro-Electrode-Dot-Array Digital Microfluidic Biochips by Douglas Luke
Cover of the book Landscapes and Landforms of Egypt by Douglas Luke
Cover of the book The United Nations Convention on the Rights of Persons with Disabilities by Douglas Luke
Cover of the book Carbon at High Temperatures by Douglas Luke
Cover of the book A Theoretical Study of Pd-Catalyzed C-C Cross-Coupling Reactions by Douglas Luke
Cover of the book Women in Sustainable Agriculture and Food Biotechnology by Douglas Luke
Cover of the book Democracy in Europe by Douglas Luke
Cover of the book Environmental Management by Douglas Luke
Cover of the book Postwar Conservatism, A Transnational Investigation by Douglas Luke
Cover of the book Advances in Mechanical Engineering by Douglas Luke
Cover of the book Research Challenges in Modeling and Simulation for Engineering Complex Systems by Douglas Luke
Cover of the book Green Chemistry Metrics by Douglas Luke
Cover of the book Business Models in the Circular Economy by Douglas Luke
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy