142
V. M. Xanat and Y. Toshimasa
Table 10.5 ANOVA in English videos network metrics
Group
BSC
SC
BC
Unclear
Degree
F = 1054.7639, R 2 = 0.962
Mean
2.4411
6.0338
4.6171
3.7488
Std. Dev
3.6696
9.9896
9.0081
7.1277
Indegree
F = 255.8935, R 2 = 0.699
Mean
0.7352
3.1440
2.3791
1.7001
Std. Dev
1.1885
7.2209
6.6648
4.7227
Outdegree
F = 1228.7771, R 2 = 0.334
Mean
1.7058
2.8898
2.2379
2.0487
Std. Dev
2.7472
3.9174
3.3312
3.1000
Closeness
F = 1165.4085, R 2 = 0.322
Mean
0.1285
0.2148
0.1630
0.1775
Std. Dev
0.2438
0.2929
0.2473
0.2757
Clust. Coef
F = 1165.4085, R 2 = 0.322
Mean
0.1197
0.2137
0.1251
0.1351
Std. Dev
0.2469
0.2965
0.2285
0.2373
Loc. Clust. Coef
F 47.8688, R 2 = 0.262
Mean
0.0431
0.0827
0.0490
0.0539
Std. Dev
0.0919
0.1289
0.0974
0.1035
Betweenness
F 491.9396, R 2 = 0.167
Mean
0.0001
0.0004
0.0003
0.0002
Std. Dev
0.0004
0.0022
0.0016
0.0013
tended to be the highest across network indicators. The exceptions were betweenness, which was highest for BC countries; and local clustering coefficient, which
was highest for countries without Doughnut Economics indicators. Interestingly,
betweenness centrality was as low as in the English network.
In order to visualize indegree and doughnut indicators, network graphs were drawn
in Gephi. Figure 10.1 shows the English video network in the left and the Spanish
video network in the right. In the case of English, interlinked groups of architecture
and academic videos mostly from BC countries tended to be more central, while
videos from SC and BSC countries versed more often in eco villages. In contrast, the
Spanish video network has more central nodes from SC and BSC countries, particularly from Mexico. The video groups labelled in the figure were usually uploaded
by university students.
Next, we will analyze videos with the highest indegree more in depth. Top 11
English videos from BC countries were mostly uploaded in the U.S., followed by the
Netherlands and UK. 5 were related to industrial design, uploaded mostly by education related actors including one woman. 7 of the videos were related to universities,
6 included women, 5 showed education related actors, 4 were about Shell and 2 were
V. M. Xanat and Y. Toshimasa
Table 10.5 ANOVA in English videos network metrics
Group
BSC
SC
BC
Unclear
Degree
F = 1054.7639, R 2 = 0.962
Mean
2.4411
6.0338
4.6171
3.7488
Std. Dev
3.6696
9.9896
9.0081
7.1277
Indegree
F = 255.8935, R 2 = 0.699
Mean
0.7352
3.1440
2.3791
1.7001
Std. Dev
1.1885
7.2209
6.6648
4.7227
Outdegree
F = 1228.7771, R 2 = 0.334
Mean
1.7058
2.8898
2.2379
2.0487
Std. Dev
2.7472
3.9174
3.3312
3.1000
Closeness
F = 1165.4085, R 2 = 0.322
Mean
0.1285
0.2148
0.1630
0.1775
Std. Dev
0.2438
0.2929
0.2473
0.2757
Clust. Coef
F = 1165.4085, R 2 = 0.322
Mean
0.1197
0.2137
0.1251
0.1351
Std. Dev
0.2469
0.2965
0.2285
0.2373
Loc. Clust. Coef
F 47.8688, R 2 = 0.262
Mean
0.0431
0.0827
0.0490
0.0539
Std. Dev
0.0919
0.1289
0.0974
0.1035
Betweenness
F 491.9396, R 2 = 0.167
Mean
0.0001
0.0004
0.0003
0.0002
Std. Dev
0.0004
0.0022
0.0016
0.0013
tended to be the highest across network indicators. The exceptions were betweenness, which was highest for BC countries; and local clustering coefficient, which
was highest for countries without Doughnut Economics indicators. Interestingly,
betweenness centrality was as low as in the English network.
In order to visualize indegree and doughnut indicators, network graphs were drawn
in Gephi. Figure 10.1 shows the English video network in the left and the Spanish
video network in the right. In the case of English, interlinked groups of architecture
and academic videos mostly from BC countries tended to be more central, while
videos from SC and BSC countries versed more often in eco villages. In contrast, the
Spanish video network has more central nodes from SC and BSC countries, particularly from Mexico. The video groups labelled in the figure were usually uploaded
by university students.
Next, we will analyze videos with the highest indegree more in depth. Top 11
English videos from BC countries were mostly uploaded in the U.S., followed by the
Netherlands and UK. 5 were related to industrial design, uploaded mostly by education related actors including one woman. 7 of the videos were related to universities,
6 included women, 5 showed education related actors, 4 were about Shell and 2 were