Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
A User’s Guide to Network Analysis in R
~
Luke, Douglas.
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/ by Douglas Luke.
Author:
Luke, Douglas.
Description:
XII, 238 p. 92 illus., 81 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Mathematical models. -
Online resource:
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
LDR
:02604nam a22004095i 4500
001
965978
003
DE-He213
005
20200706150746.0
007
cr nn 008mamaa
008
201211s2015 gw | s |||| 0|eng d
020
$a
9783319238838
$9
978-3-319-23883-8
024
7
$a
10.1007/978-3-319-23883-8
$2
doi
035
$a
978-3-319-23883-8
050
4
$a
TA342-343
072
7
$a
PBWH
$2
bicssc
072
7
$a
MAT003000
$2
bisacsh
072
7
$a
PBWH
$2
thema
072
7
$a
TBJ
$2
thema
082
0 4
$a
003.3
$2
23
100
1
$a
Luke, Douglas.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1261637
245
1 2
$a
A User’s Guide to Network Analysis in R
$h
[electronic resource] /
$c
by Douglas Luke.
250
$a
1st ed. 2015.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
XII, 238 p. 92 illus., 81 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
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
Mathematical models.
$3
527886
650
0
$a
Computer science—Mathematics.
$3
1253519
650
0
$a
Computer mathematics.
$3
1199796
650
0
$a
Statistics .
$3
1253516
650
1 4
$a
Mathematical Modeling and Industrial Mathematics.
$3
669172
650
2 4
$a
Mathematical Applications in Computer Science.
$3
815331
650
2 4
$a
Statistics and Computing/Statistics Programs.
$3
669775
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319238821
776
0 8
$i
Printed edition:
$z
9783319238845
830
0
$a
Use R!,
$x
2197-5736
$3
1253869
856
4 0
$u
https://doi.org/10.1007/978-3-319-23883-8
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login