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A User’s Guide to Network Analysis in R

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A User’s Guide to Network Analysis in R/ by Douglas Luke.
作者:	Luke, Douglas.
面頁冊數:	XII, 238 p. 92 illus., 81 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Mathematical models. -
電子資源:	https://doi.org/10.1007/978-3-319-23883-8
ISBN:	9783319238838

A User’s Guide to Network Analysis in R
Luke, Douglas.

A User’s Guide to Network Analysis in R[electronic resource] /by Douglas Luke. - 1st ed. 2015. - XII, 238 p. 92 illus., 81 illus. in color.online resource. - Use R!,2197-5736. - Use R!,.

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.

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.

ISBN: 9783319238838

Standard No.: 10.1007/978-3-319-23883-8doiSubjects--Topical Terms:

527886
Mathematical models.

LC Class. No.: TA342-343

Dewey Class. No.: 003.3

A User’s Guide to Network Analysis in R
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