Table 2 Summary of our results
Global properties of network snapshots | Local properties of nodes | Trait differences between different user groups |
|---|---|---|
∙ All snapshots have high node overlaps, but only snapshots from consecutive time periods have high edge overlaps | ∙ Different centrality measures are complementary - they identify different users | ∙ Users in NET_T do not show any trait difference compared to the control group |
∙ Global network properties are stable over time | ∙ This results in 222 NET_T users, 88 PA_T users, and 81 NET_PA users | ∙ However, NET_T users who are also in PA_T are more likely to be introverted |
∙ The best fitting network model for all snapshots is the same (GEO) | ∙ The numbers of users in NET_T, PA_T, and NET_PA are statistically significantly high | ∙ In addition, a subset of these (NET_T ∩PA_T) users who are also in NET_PA are also more likely to be anxious |