Fig. 4: The association between the subgroup’s network centrality and the overall engagement.

We measure the association with the Pearson correlation coefficient and the MIC scores. MIC scores are depicted using color, while the statistical significance of the Pearson correlation coefficients is indicated by markers. The average relative centrality of the subgroup is measured by out-degree centrality (upper left), closeness centrality on the reverse network (upper right), in-degree centrality (bottom left), and closeness centrality (bottom right). The average relative centrality is the subgroup users’ average centrality divided by the average centrality of all nodes in the network. The use of the relative measure enables cross-temporal comparisons of network measures.