A user’s guide to network Analysis in R
Luke, Douglas
A user’s guide to network Analysis in R [Documento electrónico] / Douglas Luke. - Cham : Springer International Publishing , 2015 . - XII, 238 p. 92 il.. - (Use R!) 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.
Clicar aqui para aceder a um recurso externo
ISBN 978-3-319-23883-8
Estatística matemática
LCC TA342
A user’s guide to network Analysis in R [Documento electrónico] / Douglas Luke. - Cham : Springer International Publishing , 2015 . - XII, 238 p. 92 il.. - (Use R!) 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.
Clicar aqui para aceder a um recurso externo
ISBN 978-3-319-23883-8
Estatística matemática
LCC TA342
