語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
A user's guide to network analysis in R
~
Luke, Douglas A.
FindBook
Google Book
Amazon
博客來
A user's guide to network analysis in R
紀錄類型:
書目-電子資源 : Monograph/item
正題名/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.
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.
Contained By:
Springer eBooks
標題:
Social sciences - Network analysis -
電子資源:
http://dx.doi.org/10.1007/978-3-319-23883-8
ISBN:
9783319238838$q(electronic bk.)
A user's guide to network analysis in R
Luke, Douglas A.
A user's guide to network analysis in R
[electronic resource] /by Douglas A. Luke. - Cham :Springer International Publishing :2015. - xii, 238 p. :ill., digital ;24 cm. - Use R!,2197-5736. - Use R!.
Introducing Network Analysis in R -- The Network Analysis "5 Number Summary" -- Network Data Management in R -- Basic Network Plotting and Layout -- Effective Network Graphic Design -- Advanced Network Graphics -- Actor Prominence -- Subgroups -- Affiliation Networks -- Random Network Models -- Statistical Network Models -- Dynamic Network Models -- Simulations.
Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statistical models of networks. As with all of the books in the Use R! series, each chapter contains extensive R code and detailed visualizations of datasets. Appendices will describe the R network packages and the datasets used in the book. An R package developed specifically for the book, available to readers on GitHub, contains relevant code and real-world network datasets as well.
ISBN: 9783319238838$q(electronic bk.)
Standard No.: 10.1007/978-3-319-23883-8doiSubjects--Topical Terms:
2165638
Social sciences
--Network analysis
LC Class. No.: HM741
Dewey Class. No.: 302.30285
A user's guide to network analysis in R
LDR
:02260nmm a2200349 a 4500
001
2016508
003
DE-He213
005
20160512153350.0
006
m d
007
cr nn 008maaau
008
160613s2015 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
753114
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
2165638
650
0
$a
R (Computer program language)
$3
784593
650
1 4
$a
Mathematics.
$3
515831
650
2 4
$a
Mathematical Modeling and Industrial Mathematics.
$3
891089
650
2 4
$a
Mathematical Applications in Computer Science.
$3
1567978
650
2 4
$a
Statistics and Computing/Statistics Programs.
$3
894293
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
Use R!
$3
939293
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-23883-8
950
$a
Mathematics and Statistics (Springer-11649)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9275502
電子資源
11.線上閱覽_V
電子書
EB HM741 .L954 2015
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入