Fig 1.
Illustrations of the different network metric used in our analyses based on representative classrooms from the current dataset. Each node (indicated by a circle) is a group member. The size of the nodes is associated with the total number of connections it has, and the color indicates gender (light = female). The panels present examples of the different social cohesion measures. (A) there are two networks that differ in network density. (B) shows a network that consists of 3 clusters and one network that has only one big cluster. (C) the path that is highlighted is (one of) the longest path(s) between two nodes in a network.
Table 1.
Group level: Results of multiple logistic regressions with aggregate social behavior as dependent variables.
Fig 2.
(A) When the participant was the first player he or she could decide to either trust or not trust the other person. The possible outcomes for trusting where shaded to indicate the role of the participant but still clearly visible to understand the possible consequences. (B) Distributions of percentages of trust choices, white circle is the population mean.
Table 2.
Group level: Results of multiple logistic regression analysis with generalized trust as dependent variable.
Fig 3.
(A) an example of a hypothetical social network illustrating the individual level metrics. The letters label individuals in the network.(B) the same network is restructured in a hierarchy such that the node with the highest relevant centrality measure is on top (following the arrow). For example, node C has the highest Eigenvector centrality, but node E had the highest betweenness centrality.
Table 3.
Results of multiple logistic regressions with social behaviors as dependent variables.