Fig. 12

Local Clustering Coefficient Distributions. This figure depicts the CDF of local clustering coefficients of all nodes (black lines), positive nodes (green lines) and negative nodes (red lines) respectively for each of the five languages contained in our dataset. In case of the three larger networks, including French (cf. Fig. 12a), Italian (cf. Fig. 12c) and Spanish (cf. Fig. 12e), negative nodes have higher probability for lower local clustering coefficients whereas positive nodes have higher probability for mid-range local clustering coefficients. The difference between local clustering coefficient distributions of positive and negative words is significant (p-values <0.0005) for each of the three networks according to two-sample Kolmogorov-Smirnov tests. Results are different for the two smaller German (cf. Fig. 12b) and Portuguese networks (cf. Fig. 12d) for which there is no significant difference between positive and negative distributions according to a two-sample Kolmogorov-Smirnov test (p-values >0.05)