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 Computer Vision – ECCV 2018 by Douglas Luke
Cover of the book The Culture Industry and Participatory Audiences by Douglas Luke
Cover of the book Over the Human by Douglas Luke
Cover of the book General Theory of Light Propagation and Imaging Through the Atmosphere by Douglas Luke
Cover of the book Foundational and Practical Aspects of Resource Analysis by Douglas Luke
Cover of the book Foreign Aid and the Future of Africa by Douglas Luke
Cover of the book Computer Vision – ECCV 2018 by Douglas Luke
Cover of the book Photorefractive Optoelectronic Tweezers and Their Applications by Douglas Luke
Cover of the book NEO 2015 by Douglas Luke
Cover of the book Mass Spectrometry by Douglas Luke
Cover of the book Classical Statistical Mechanics with Nested Sampling by Douglas Luke
Cover of the book Nanoscale Materials and Devices for Electronics, Photonics and Solar Energy by Douglas Luke
Cover of the book Algorithms and Models for the Web Graph by Douglas Luke
Cover of the book Design, User Experience, and Usability. Application Domains by Douglas Luke
Cover of the book Consumer Law and Socioeconomic Development 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