大葉大學圖書館 |

A user's guide to network analysis in R[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	302.30285
書名/作者:	A user's guide to network analysis in R/ by Douglas A. Luke.
作者:	Luke, Douglas A.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xii, 238 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Social sciences - Network analysis
標題:	R (Computer program language)
標題:	Mathematics.
標題:	Mathematical Modeling and Industrial Mathematics.
標題:	Mathematical Applications in Computer Science.
標題:	Statistics and Computing/Statistics Programs.
ISBN:	9783319238838
ISBN:	9783319238821
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-23883-8

A user's guide to network analysis in R[electronic resource] /
Luke, Douglas A.

A user's guide to network analysis in R[electronic resource] /by Douglas A. Luke. - Cham :Springer International Publishing :2015. - xii, 238 p. :ill., digital ;24 cm. - 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:

636380
Social sciences
--Network analysis

LC Class. No.: HM741

Dewey Class. No.: 302.30285

A user's guide to network analysis in R[electronic resource] /
LDR:02260nam a2200349 a 4500 001 444664
003 DE-He213
005 20160512153350.0
006 m d
007 cr nn 008maaau
008 160715s2015 gw s 0 eng d
020 $a 9783319238838 $q (electronic bk.)
020 $a 9783319238821 $q (paper)
024 7 $a 10.1007/978-3-319-23883-8 $2 doi
035 $a 978-3-319-23883-8
040 $a GP $c GP
041 0 $a eng
050 4 $a HM741
072 7 $a PBWH $2 bicssc
072 7 $a TBJ $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a TEC009060 $2 bisacsh
082 0 4 $a 302.30285 $2 23
090 $a HM741 $b .L954 2015
100 1 $a Luke, Douglas A. $3 636379
245 1 2 $a A user's guide to network analysis in R $h [electronic resource] / $c by Douglas A. Luke.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xii, 238 p. : $b ill., digital ; $c 24 cm.
490 1 $a Use R!, $x 2197-5736
505 0 $a 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.
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 Social sciences $x Network analysis $x Data processing. $3 636380
650 0 $a R (Computer program language) $3 465792
650 1 4 $a Mathematics. $3 172349
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 463922
650 2 4 $a Mathematical Applications in Computer Science. $3 467521
650 2 4 $a Statistics and Computing/Statistics Programs. $3 463725
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Use R! $3 465790
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-23883-8
950 $a Mathematics and Statistics (Springer-11649)