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 Metal Free C-H Functionalization of Aromatics by Douglas Luke
Cover of the book Handbook of Big Data Analytics by Douglas Luke
Cover of the book Corruption and Anti-Corruption in Policing—Philosophical and Ethical Issues by Douglas Luke
Cover of the book Colours in the development of Wittgenstein’s Philosophy by Douglas Luke
Cover of the book Quantum Entanglement of Complex Structures of Photons by Douglas Luke
Cover of the book Stochastic Processes by Douglas Luke
Cover of the book Making Sense of Moral Panics by Douglas Luke
Cover of the book Modeling and Simulation of Functionalized Materials for Additive Manufacturing and 3D Printing: Continuous and Discrete Media by Douglas Luke
Cover of the book Quantifying Aesthetics of Visual Design Applied to Automatic Design by Douglas Luke
Cover of the book Photochemical Behavior of Multicomponent Polymeric-based Materials by Douglas Luke
Cover of the book Fracture at all Scales by Douglas Luke
Cover of the book Advanced Intelligent Computing Theories and Applications by Douglas Luke
Cover of the book Tennessee Williams and Italy by Douglas Luke
Cover of the book Potato virus Y: biodiversity, pathogenicity, epidemiology and management by Douglas Luke
Cover of the book The Scottish Book 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