Description Usage Format Details References Examples
Krackhardt (1987) reports the CSS data collected from 21 managers in a high tech machinery firm. Perceptions of all individuals on the whole network is provided.
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A 21 by 21 by 21 array of zeroes (nonexistence of tie) and ones (existence of tie), where the
perception slice of the i-th individual correspons to highTechManagers[,,i]
.
In a CSS data set, each actor not only reports his or her self-ties, but also answers questions on all possible ties in the network. Then a CSS for a network involving N individuals may be represented by a three dimensional array R_{i,j,m} (i,j,m=1,...,N), where i is the sender, j is the receiver, and m is the perceiver of the relationship. This data set contains the CSS given in Krackhardt (1987), which reports the perceptions of all individuals in a network of 21 managers in a high tech machinery firm. In the original data 17th slice is problematic since row 17 in this slice consists of ones only. To overcome this, we replaced row 17 with column 17.
Krackhardt, D. (1987). Cognitive social structures. Social Networks 9, 109-134. http://dx.doi.org/10.1016/0378-8733(87)90009-8
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Loading required package: sna
Loading required package: statnet.common
Attaching package: 'statnet.common'
The following object is masked from 'package:base':
order
Loading required package: network
network: Classes for Relational Data
Version 1.13.0.1 created on 2015-08-31.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
Mark S. Handcock, University of California -- Los Angeles
David R. Hunter, Penn State University
Martina Morris, University of Washington
Skye Bender-deMoll, University of Washington
For citation information, type citation("network").
Type help("network-package") to get started.
sna: Tools for Social Network Analysis
Version 2.4 created on 2016-07-23.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
For citation information, type citation("sna").
Type help(package="sna") to get started.
$trueNetwork
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13]
[1,] 1 1 0 1 0 0 0 0 0 0 0 1 0
[2,] 1 1 0 0 0 0 0 0 0 0 0 0 0
[3,] 0 0 1 0 0 0 0 0 0 0 0 0 0
[4,] 1 0 0 1 0 0 0 0 0 0 0 1 0
[5,] 0 1 0 0 1 0 0 0 0 0 1 0 0
[6,] 0 1 0 0 0 1 1 0 0 0 0 0 0
[7,] 0 0 0 0 0 0 1 0 0 0 0 0 0
[8,] 0 0 0 1 0 0 0 1 0 0 0 0 0
[9,] 0 0 0 0 0 0 0 0 1 0 0 0 0
[10,] 0 0 0 0 0 0 0 0 0 1 0 0 0
[11,] 0 0 0 0 1 0 0 0 0 0 1 0 1
[12,] 1 0 0 1 0 0 0 0 0 0 0 1 0
[13,] 0 0 0 0 0 0 0 0 0 0 1 0 1
[14,] 0 0 0 0 0 0 1 0 0 0 0 0 0
[15,] 0 0 0 0 0 0 0 0 0 0 1 0 0
[16,] 1 0 0 0 0 0 0 0 0 0 0 0 0
[17,] 0 0 0 0 1 1 1 0 0 0 0 0 0
[18,] 0 1 0 0 0 0 0 0 0 0 0 0 0
[19,] 0 0 1 0 1 0 0 0 0 0 1 0 0
[20,] 0 0 0 0 0 0 0 0 0 0 0 0 0
[21,] 0 1 0 0 0 0 0 0 0 0 0 1 0
[,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21]
[1,] 0 0 1 0 0 0 0 0
[2,] 0 0 0 0 1 0 0 1
[3,] 1 0 0 0 0 1 0 0
[4,] 0 0 0 0 0 0 0 0
[5,] 1 0 0 1 0 1 0 1
[6,] 0 0 0 1 0 0 0 0
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[9,] 0 0 0 0 0 0 0 0
[10,] 0 0 0 0 0 0 1 0
[11,] 0 1 0 0 1 1 0 0
[12,] 0 0 0 0 0 0 0 1
[13,] 0 0 0 0 0 0 0 0
[14,] 1 1 0 0 0 0 0 0
[15,] 1 1 0 0 0 1 0 0
[16,] 0 0 1 0 0 0 0 0
[17,] 0 0 0 1 0 0 0 1
[18,] 0 0 0 0 1 0 0 0
[19,] 0 1 0 0 0 1 0 0
[20,] 0 0 0 0 0 0 1 0
[21,] 0 0 0 1 0 0 0 1
$sliceQuality
A B C D s14 errorProp correlation
[1,] 335 25 36 45 0.5151021 0.14523810 0.36031832
[2,] 367 32 4 38 0.6623661 0.08571429 0.49514363
[3,] 370 43 1 27 0.5739871 0.10476190 0.30029589
[4,] 356 28 15 42 0.6095178 0.10238095 0.44509910
[5,] 334 17 37 53 0.5960725 0.12857143 0.47939302
[6,] 358 33 13 37 0.5688228 0.10952381 0.36908088
[7,] 319 23 52 47 0.4652839 0.17857143 0.32232252
[8,] 371 44 0 26 0.5762362 0.10476190 0.30202985
[9,] 371 43 0 27 0.5879219 0.10238095 0.33125647
[10,] 342 33 29 37 0.4613717 0.14761905 0.25778098
[11,] 325 24 46 46 0.4794924 0.16666667 0.33080502
[12,] 362 31 9 39 0.6252473 0.09523810 0.44906850
[13,] 352 35 19 35 0.5002924 0.12857143 0.27978079
[14,] 349 23 22 47 0.6157199 0.10714286 0.47555678
[15,] 349 37 22 33 0.4558212 0.14047619 0.21843739
[16,] 360 35 11 35 0.5623155 0.10952381 0.34742906
[17,] 361 31 10 39 0.6164890 0.09761905 0.43806975
[18,] 366 33 5 37 0.6412268 0.09047619 0.46111314
[19,] 328 18 43 52 0.5572780 0.14523810 0.43542329
[20,] 364 46 7 24 0.4631202 0.12619048 0.08918951
[21,] 349 21 22 49 0.6370319 0.10238095 0.50766687
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