Sublinear domination and core-periphery networks.
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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 |
REPOSITORIES: biostudies-literature
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