English

A measure for characterizing heavy-tailed networks

Physics and Society 2021-07-07 v1

Abstract

Heavy-tailed networks are often characterized in the literature by their degree distribution's similarity to a power law. However, many heavy-tailed networks in real life do not have power-law degree distributions, and in many applications the scale-free nature of the network is irrelevant so long as the network possesses hubs. Here we present the Cooke-Nieboer index (CNI), a non-asymptotic measure of the heavy-tailedness of a network's degree distribution which does not presume a power-law form. The CNI is easy to calculate, and clearly distinguishes between networks with power-law, exponential, and symmetric degree distributions.

Keywords

Cite

@article{arxiv.1907.04808,
  title  = {A measure for characterizing heavy-tailed networks},
  author = {Scott A. Hill},
  journal= {arXiv preprint arXiv:1907.04808},
  year   = {2021}
}

Comments

8 pages, 13 figures

R2 v1 2026-06-23T10:17:40.697Z