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A user's guide to network analysis i...

Luke, Douglas A.,

A user's guide to network analysis in R /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A user's guide to network analysis in R /Douglas A. Luke.
Author:	Luke, Douglas A.,
Published:	Cham :Springer,c2015.
Description:	xii, 238 p. :ill. (some col.) ;24 cm.
Subject:	R (Computer program language)
ISBN:	3319238825 (pbk.)

A user's guide to network analysis in R /
Luke, Douglas A.,

A user's guide to network analysis in R /Douglas A. Luke. - Cham :Springer,c2015. - xii, 238 p. :ill. (some col.) ;24 cm. - Use R!. - Use R!.

Includes bibliographical references.

Introducing Network Analysis in R -- The Network Analysis 'Five-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: 3319238825 (pbk.)Subjects--Topical Terms:

210846
R (Computer program language)

LC Class. No.: HM741 / .L85 2015

A user's guide to network analysis in R /
LDR:01869cam a2200217 a 450 001 480016
003 OCoLC
005 20160812043309.0
008 160826s2015 sz a b 000 0 eng d
020 $a 3319238825 (pbk.)
020 $a 9783319238821 (pbk.) : $c NT$1602
035 $a (OCoLC)915120207
035 $a ocn915120207
040 $a YDXCP $b eng $c YDXCP $d BTCTA $d WTU $d AMH
050 4 $a HM741 $b .L85 2015
100 1 $a Luke, Douglas A., $e author. $3 735530
245 1 2 $a A user's guide to network analysis in R / $c Douglas A. Luke.
260 $a Cham : $b Springer, $c c2015.
300 $a xii, 238 p. : $b ill. (some col.) ; $c 24 cm.
490 1 $a Use R!
504 $a Includes bibliographical references.
505 0 $a Introducing Network Analysis in R -- The Network Analysis 'Five-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.
520 $a 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.
650 0 $a R (Computer program language) $3 210846
650 0 $a Social sciences $x Network analysis $x Data processing. $3 732735
830 0 $a Use R! $3 558822