Archaeology of random recursive dags and Cooper-Frieze random networks

Author:

Briend Simon,Calvillo Francisco,Lugosi Gábor

Abstract

AbstractWe 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.

Publisher

Cambridge University Press (CUP)

Subject

Applied Mathematics,Computational Theory and Mathematics,Statistics and Probability,Theoretical Computer Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Authors’ reply to the Discussion of ‘Root and community inference on the latent growth process of a network’;Journal of the Royal Statistical Society Series B: Statistical Methodology;2024-06-07

2. Andrej Srakar’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu;Journal of the Royal Statistical Society Series B: Statistical Methodology;2024-06-07

3. Eve, Adam and the preferential attachment tree;Probability Theory and Related Fields;2024-01-12

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