A User's Guide to Network Analysis in R
β Luke, Douglas A
π Library
π
2015
π Springer
π English
β¦ LIBER β¦
π
A User's Guide to Network Analysis in R
β Scribed by Douglas A. Luke
- Publisher
- Springer
- Year
- 2015
- Tongue
- English
- Leaves
- 241
- Edition
- 1st ed. 2015
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
Presenting a comprehensive resource for the mastery of network analysis in R,Β 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 andΒ readers are guidedΒ 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 willΒ 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.
β¦ Table of Contents
Front Matter....Pages i-xii
Introducing Network Analysis in R....Pages 1-8
Front Matter....Pages 9-9
The Network Analysis βFive-Number Summaryβ....Pages 11-16
Network Data Management in R....Pages 17-41
Front Matter....Pages 43-43
Basic Network Plotting and Layout....Pages 45-53
Effective Network Graphic Design....Pages 55-72
Advanced Network Graphics....Pages 73-87
Front Matter....Pages 89-89
Actor Prominence....Pages 91-104
Subgroups....Pages 105-123
Affiliation Networks....Pages 125-144
Front Matter....Pages 145-145
Random Network Models....Pages 147-162
Statistical Network Models....Pages 163-187
Dynamic Network Models....Pages 189-215
Simulations....Pages 217-234
Back Matter....Pages 235-238
β¦ Subjects
Mathematical Modeling and Industrial Mathematics; Mathematical Applications in Computer Science; Statistics and Computing/Statistics Programs
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