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Ukrainian and Russian organizations in Sweden and the conflict “back home” Cover

Ukrainian and Russian organizations in Sweden and the conflict “back home”

By:   
Open Access
|Dec 2019

Figures & Tables

Figure 1:

Focus of the conflict for diasporic organizations in another country, a model.

Table 1.

Data frequencies.

Conflict side
EthnicityNeutralPro-RussianPro-UkrainianTotal
Mixed (Russian-speaking)8109
Not national126119
Other national organizations110011
Russian5106
Ukrainian401014
Total4081159
Table 2.

Descriptive network statistics.

Network sizeDensityEdges (total)ReciprocityTransitivity
2013150.06120.880
2014150.10220.880
2015270.12880.900.43
2016400.081390.940.19
Figure 2:

Network plots for the years of 2013 to 2016 (from left to right, row-wise).

Figure 3:

Cross-tabulation correspondence map between categories “ethnicity” and “side of the conflict” in the data set.

Table 3.

Exponential random graph model for 2014 network.

Baseline modelStep 2Step 3
CovariatesEstimateSEEstimateSEEstimateSE
Edges/intercept−4.923.38−2.343.23−2.483.15
Reciprocity0.581.260.881.210.911.20
Intransitive−0.410.41−0.260.37−0.250.37
gw out-degree−0.932.52−1.722.92−1.682.81
gw in-degree (fixed 0.5)2.66.1.572.221.472.211.47
org. type umbrella organization−0.060.57−0.120.46−0.100.46
global
independent organization – reference category.....
ethnic ident. Ukrainian1.371.00
Russian0.011.21
mixed (Ukrainian and Russian) – reference category.
other
no ethnic ident0.870.99
conflict side pro-Russian
pro-Ukrainian
neutral – reference category
homophily on conflict side–0.510.64
on ethnic identification–0.250.66
AIC113112.2112.9

1 Notes: 0=***; 0.001=**=0.01; *=0.05; .=0.1.

Figure A1:

Goodness-of-fit plot for the best fit model for 2014 network.

Table 4.

Exponential random graph model for 2015 network.

Baseline ModelStep 2Step 3
CovariatesEstimateSEEstimateSEEstimateSE
Edges/intercept−1.68***0.44−1.77***0.45−1.74***0.44
reciprocity2.14**0.812.07*0.822.08**0.82
intransitive−0.22.0.12−0.24.0.13−0.23.0.13
gw in-degree (fixed 0.5)0.970.751.040.811.000.77
gw out-degree (fixed 0.7)−3.22***0.51−3.17***0.53−3.18***0.53
org. type umbrella organization0.110.170.120.190.070.19
global
independent organization – reference category......
ethnic ident. Ukrainian
Russian
mixed (Ukrainian and Russian) – reference category....
other
no ethnic ident.
conflict side pro-Russian−0.0010.18
pro-Ukrainian−0.0090.19
neutral – reference category
homophily conflict sidepro-Russian0.080.51
pro-Ukrainian0.90.0.53
ethnic ident.mixed1.030.57
Ukrainian0.280.42
AIC269.7267.2268.1

4 Notes: 0=***; 0.001=**=0.01; *=0.05; .=0.

Figure A2:

Goodness-of-fit plot for the best fit model for 2015 network.

Table 5.

Exponential random graph model for 2016 network (Steps 2 and 3 not converged).

Baseline model
CovariatesEstimateSE
Edges/intercept−1.14*0.50
reciprocity1.99**0.65
intransitive−0.010.05
gw in-degree0.81.0.46
gw out-degree−3.72***0.40
org. type umbrella organization−0.160.19
independent organization – reference category..
global0.170.19
ethnic ident. Ukrainian
Russian
mixed (Ukrainian and Russian) – reference category
other
no ethnic id.
conflict side pro-Russian0.29*0.13
pro-Ukrainian−0.200.26
neutral – reference category..
homophily on conflict side
on ethnic ident.
AIC416.7

5 Notes: 0=***; 0.001=**=0.01; *=0.05; .=0.1.

Figure A3:

Goodness-of-fit plot for the best fit model for 2016 network.

DOI: https://doi.org/10.21307/connections-2019-008 | Journal eISSN: 2816-4245 (formerly 0226-1766) | Journal ISSN: 0226-1766
Language: English
Page range: 1 - 20
Published on: Dec 24, 2019
Published by: International Network for Social Network Analysis (INSNA)
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2019 Sofiya Voytiv, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution 4.0 License.