TY  - BOOK
AU  - Luke,Douglas
ED  - SpringerLink (Online service)
TI  - A User’s Guide to Network Analysis in R
T2  - Use R!,
SN  - 9783319238838
AV  - TA342-343 
U1  - 003.3 23
PY  - 2015///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - mathematics
KW  - Computer science
KW  - Mathematics
KW  - Computer mathematics
KW  - Mathematical models
KW  - Statistics
KW  - Mathematical Modeling and Industrial Mathematics
KW  - Mathematical Applications in Computer Science
KW  - Statistics and Computing/Statistics Programs
N1  - Introducing Network Analysis in R -- The Network Analysis "5 Number Summary" -- Network Data Management in R -- Basic Network Plotting and Layout -- Effective Network Graphic Design -- Advanced Network Graphics -- Actor Prominence -- Subgroups -- Affiliation Networks -- Random Network Models -- Statistical Network Models -- Dynamic Network Models -- Simulations
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-319-23883-8
ER  -