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Archaeology of random recursive dags and Cooper-Frieze random networks

Probability 2022-08-01 v1 Machine Learning Statistics Theory Machine Learning Statistics Theory

Abstract

We study the problem of finding the root vertex in large growing networks. We prove that it is possible to construct confidence sets of size independent of the number of vertices in the network that contain the root vertex with high probability in various models of random networks. The models include uniform random recursive dags and uniform Cooper-Frieze random graphs.

Keywords

Cite

@article{arxiv.2207.14601,
  title  = {Archaeology of random recursive dags and Cooper-Frieze random networks},
  author = {Simon Briend and Francisco Calvillo and Gábor Lugosi},
  journal= {arXiv preprint arXiv:2207.14601},
  year   = {2022}
}

Comments

20 pages, 2 figures