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 Principles of Free Electron Lasers by Douglas Luke
Cover of the book British Terrorist Novels of the 1970s by Douglas Luke
Cover of the book Neurotrauma Management for the Severely Injured Polytrauma Patient by Douglas Luke
Cover of the book The Urban Transport Crisis in Emerging Economies by Douglas Luke
Cover of the book Bioactive Compounds from Extremophiles by Douglas Luke
Cover of the book Biblical Principles of Leading and Managing Employees by Douglas Luke
Cover of the book Agile Project Management: Managing for Success by Douglas Luke
Cover of the book Global Sustainability, Cultural Perspectives and Challenges for Transdisciplinary Integrated Research by Douglas Luke
Cover of the book Poetry And Imagined Worlds by Douglas Luke
Cover of the book Towards Ultrasound-guided Spinal Fusion Surgery by Douglas Luke
Cover of the book Almost Automorphic Type and Almost Periodic Type Functions in Abstract Spaces by Douglas Luke
Cover of the book State, Memory, and Egypt’s Victory in the 1973 War by Douglas Luke
Cover of the book Progress in Nanophotonics 3 by Douglas Luke
Cover of the book Diasporic Returns to the Ethnic Homeland by Douglas Luke
Cover of the book Gravity and the Quantum 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