Dataset Degree Distributions
This plot shows various statistics (mean, variance, skewness and kurtosis) of the degree distributions of all contained datasets. Since the triples contained in knowledge graphs are directed, the degree is further distinguished into out-degree (head) and in-degree (tail). Notice further that the plots are in log-log space, i.e., both axes are shown logarithmically scaled.
In particular, we observe that the higher order moments skewness and kurtosis increase with increasing graph size, and are generally larger than one. This hints at a fat-tail degree distribution, i.e., the existence of hub entities, with a large degree while the majority of entities has only a few neighbors.