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

Sofiya Voytiv
Sofiya Voytiv
   | 24 dic 2019
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Publicado en línea: 24 dic 2019
Páginas: 1 - 20
DOI: https://doi.org/10.21307/connections-2019-008
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© 2019 Sofiya Voytiv published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1:

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

Figure 2:

Network plots for the years of 2013 to 2016 (from left to right, row-wise).
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.
Cross-tabulation correspondence map between categories “ethnicity” and “side of the conflict” in the data set.

Figure A1:

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

Figure A2:

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

Figure A3:

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

Descriptive network statistics.

Network size Density Edges (total) Reciprocity Transitivity
2013 15 0.06 12 0.88 0
2014 15 0.10 22 0.88 0
2015 27 0.12 88 0.90 0.43
2016 40 0.08 139 0.94 0.19

Data frequencies.

Conflict side
Ethnicity Neutral Pro-Russian Pro-Ukrainian Total
Mixed (Russian-speaking) 8 1 0 9
Not national 12 6 1 19
Other national organizations 11 0 0 11
Russian 5 1 0 6
Ukrainian 4 0 10 14
Total 40 8 11 59

Exponential random graph model for 2014 network.

Baseline model Step 2 Step 3
Covariates Estimate SE Estimate SE Estimate SE
Edges/intercept −4.92 3.38 −2.34 3.23 −2.48 3.15
Reciprocity 0.58 1.26 0.88 1.21 0.91 1.20
Intransitive −0.41 0.41 −0.26 0.37 −0.25 0.37
gw out-degree −0.93 2.52 −1.72 2.92 −1.68 2.81
gw in-degree (fixed 0.5) 2.66. 1.57 2.22 1.47 2.21 1.47
org. type umbrella organization −0.06 0.57 −0.12 0.46 −0.10 0.46
global
independent organization – reference category . . . . .
ethnic ident. Ukrainian 1.37 1.00
Russian 0.01 1.21
mixed (Ukrainian and Russian) – reference category .
other – –
no ethnic ident 0.87 0.99
conflict side pro-Russian
pro-Ukrainian
neutral – reference category
homophily on conflict side –0.51 0.64
on ethnic identification –0.25 0.66
AIC 113 112.2 112.9

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

Baseline model
Covariates Estimate SE
Edges/intercept −1.14* 0.50
reciprocity 1.99** 0.65
intransitive −0.01 0.05
gw in-degree 0.81. 0.46
gw out-degree −3.72*** 0.40
org. type umbrella organization −0.16 0.19
independent organization – reference category . .
global 0.17 0.19
ethnic ident. Ukrainian
Russian
mixed (Ukrainian and Russian) – reference category
other
no ethnic id.
conflict side pro-Russian 0.29* 0.13
pro-Ukrainian −0.20 0.26
neutral – reference category . .
homophily on conflict side
on ethnic ident.
AIC 416.7

Exponential random graph model for 2015 network.

Baseline Model Step 2 Step 3
Covariates Estimate SE Estimate SE Estimate SE
Edges/intercept −1.68*** 0.44 −1.77*** 0.45 −1.74*** 0.44
reciprocity 2.14** 0.81 2.07* 0.82 2.08** 0.82
intransitive −0.22. 0.12 −0.24. 0.13 −0.23. 0.13
gw in-degree (fixed 0.5) 0.97 0.75 1.04 0.81 1.00 0.77
gw out-degree (fixed 0.7) −3.22*** 0.51 −3.17*** 0.53 −3.18*** 0.53
org. type umbrella organization 0.11 0.17 0.12 0.19 0.07 0.19
global
independent organization – reference category . . . . . .
ethnic ident. Ukrainian
Russian
mixed (Ukrainian and Russian) – reference category . . . .
other
no ethnic ident.
conflict side pro-Russian −0.001 0.18
pro-Ukrainian −0.009 0.19
neutral – reference category
homophily conflict side pro-Russian 0.08 0.51
pro-Ukrainian 0.90. 0.53
ethnic ident. mixed 1.03 0.57
Ukrainian 0.28 0.42
AIC 269.7 267.2 268.1
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