Sublinear domination and core-periphery networks.

ABSTRACT: In this paper we devise a generative random network model with core-periphery properties whose core nodes act as sublinear dominators, that is, if the network has n nodes, the core has size o(n) and dominates the entire network. We show that instances generated by this model exhibit power law degree distributions, and incorporates small-world phenomena. We also fit our model in a variety of real-world networks.

SUBMITTER: Papachristou M 

PROVIDER: S-EPMC8324891 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature