These are the values of the relative edge distribution entropy (Her) for all networks to which the statistic applies and for which it was computed. In total, it has been computed for 1,228 networks.
The relative edge distribution entropy (Her) measures the skewness of the degree distribution. It is zero if all degrees are zero except for one node, and larger of the degree values are distributed over more nodes. This statistic equals the value of the entropy divided by the maximal attainable value of the given number of nodes.
The full definition of the relative edge distribution entropy as well as its properties and relationships to other graph statistics can be found in the KONECT handbook.
References for this statistic:
[1] | Jérôme Kunegis and Julia Preusse. Fairness on the web: Alternatives to the power law. In Proc. Web Sci. Conf., pages 175–184, 2012. [ http ] |