Entropy-based centralization and its sampling distribution in directed communication networks

This article proposes a new measure of network centralization and reports the results of a simulation designed to determine the sampling distribution of the proposed measure. The measure is based on the information-theoretic concept of entropy and is appropriate for those networks in which traffic flows over paths and propagates by means of transference. Tables of critical values are constructed which allow the researcher to conduct tests of significance.