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This article is cited in 1 scientific paper (total in 1 paper)
Analysis of size of the largest dense subgraph of random hypergraph
N. N. Kuzyrinab, D. O. Lazarevb a Ivannikov Institute for System Programming of the Russian Academy of Sciences
b Moscow Institute of Physics and Technology
Abstract:
Random networks are often described using Erdos-Renyi model of random graph $G(n,p)$. The concept of graph density is often used in random network analysis. In this article, the maximal size of $c$-dense subgraph almost surely included in random graph $G(n,\frac 12)$ was evaluated. It was shown, that if $c<\frac 12$, then $G(n,\frac 12)$ is almost surely $c$-dense; the upper and lower bounds for the size of maximal $\frac 12$-dense subgraph almost surely included in $G(n,\frac 12)$ were determined; in case when $c>\frac 12$, the upper bound for the maximal size of $c$-dense subgraph almost surely included in $G(n,\frac 12)$ was attained.
Keywords:
random graph, Erdos-Renyi model, graph density, maximal dense subgraph.
Citation:
N. N. Kuzyrin, D. O. Lazarev, “Analysis of size of the largest dense subgraph of random hypergraph”, Proceedings of ISP RAS, 29:6 (2017), 213–220
Linking options:
https://www.mathnet.ru/eng/tisp282 https://www.mathnet.ru/eng/tisp/v29/i6/p213
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Abstract page: | 135 | Full-text PDF : | 67 | References: | 21 |
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