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Techniques: Dichotomizing a Network Cover

Techniques: Dichotomizing a Network

Open Access
|Jan 2019

Figures & Tables

Figure 1

DGG Women by Women dataset dichotomized above 1.

Figure 2

DGG Women by Women dataset dichotomized above 2.

Figure 3

DGG Women by Women dataset dichotomized above 3.

Figure 4

BKS FRATERNITY dataset dichotomized above 0.

Figure 5

BKS FRATERNITY dataset dichotomized above 2.

Figure 6

BKS FRATERNITY dataset dichotomized above 4.

Figure 7

BKS FRATERNITY dataset dichotomized above 6.

Figure 8

DGG Women by Women dataset dichotomized at 4.

Figure 9

DGG Women by Women dataset dichotomized at 3. Strong ties in bold.

Figure A1

Screenshot of Netdraw.

Figure A2

Screenshot of UCINET’s Interactive Dichotomization routine’s results.

G-transitivity decomposition command line instruction and output in UCINET_

->dsp gtrans(women)
1 2 3 4
Level Trans Intrans Possible Prop Trans
n
-------- -------- -------- --------
7 0 0 0
6 26 0 26 1
5 30 0 30 1
4 160 0 160 1
3 526 4 530 0.992
2 2,032 44 2,076 0.979
1 3,786 292 4,078 0.928
0 4,448 448 4,896 0.908

One mode DGG Women by Women network projection_

EVLATHBRCHFRELPERUVEMYKASYNOHEDOOLFL
EVELYN867634333222221211
LAURA676634423211222100
THERESA768644434322332211
BRENDA666744423211222100
CHARLOTTE334442202100111000
FRANCES444424322111111100
ELEANOR344423423211222100
PEARL323202232222221211
RUTH334322324322322211
VERNE223211223433433211
MYRNA212101122344433211
KATHERINE212101122346653211
SYLVIA223211223446764211
NORA223211222335684122
HELEN122211212333445111
DOROTHY212101122222211211
OLIVIA101000011111121122
FLORA101000011111121122

R-square of models predicting performance using betweenness centrality at different levels of dichotomization_

Dichot. levelR2
10.05
20.09
30.12
40.23
50.31
60.27
70.22
80.15
90.07

Number of g-transitive and intransitive triples in the DGG dataset at different dichotomization levels_

ValueTransIntrans
700
6260
5300
41600
35264
22,03244
13,786292
04,448448

Z-score, correlation, number of ties and density of the DGG dataset at different dichotomization levels_

ValueZ-scoreCorrelationTiesDensity
73.3520.27188720.006536
62.6670.646625160.052288
51.9830.666829180.058824
41.2980.781314480.156863
30.6130.811928920.300654
2−0.0720.7201151900.620915
1−0.7560.4573412780.908497
0−1.441 3061.000000
DOI: https://doi.org/10.21307/connections-2018-002 | Journal eISSN: 2816-4245 | Journal ISSN: 0226-1766
Language: English
Page range: 1 - 11
Published on: Jan 18, 2019
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2019 Stephen P. Borgatti, Eric Quintane, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution 4.0 License.