English

The Intrinsic Scale of Networks is Small

Social and Information Networks 2019-01-29 v1 Machine Learning Physics and Society Machine Learning

Abstract

We define the intrinsic scale at which a network begins to reveal its identity as the scale at which subgraphs in the network (created by a random walk) are distinguishable from similar sized subgraphs in a perturbed copy of the network. We conduct an extensive study of intrinsic scale for several networks, ranging from structured (e.g. road networks) to ad-hoc and unstructured (e.g. crowd sourced information networks), to biological. We find: (a) The intrinsic scale is surprisingly small (7-20 vertices), even though the networks are many orders of magnitude larger. (b) The intrinsic scale quantifies ``structure'' in a network -- networks which are explicitly constructed for specific tasks have smaller intrinsic scale. (c) The structure at different scales can be fragile (easy to disrupt) or robust.

Keywords

Cite

@article{arxiv.1901.09680,
  title  = {The Intrinsic Scale of Networks is Small},
  author = {Malik Magdon-Ismail and Kshiteesh Hegde},
  journal= {arXiv preprint arXiv:1901.09680},
  year   = {2019}
}