Information Spreading in Random Graphs Evoving by Norros-Reittu Model

Fuente: arXiv
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Main Authors: Markovich, N. M., Osipov, D. V.
Format: Preprint
Published: 2025
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author Markovich, N. M.
Osipov, D. V.
author_facet Markovich, N. M.
Osipov, D. V.
contents The paper is devoted to the spreading of a message within the random graph evolving by the Norros-Reittu preferential attachment model. The latter model forms random Poissonian numbers of edges between newly added nodes and existing ones. For a pre-fixed time $T^*$, the probability mass functions of the number of nodes obtained the message and the total number of nodes in the graph, as well as the distribution function of their ratio are derived. To this end, the success probability to disseminate the message from the node with the message to the node without message is proved. The exposition is illustrated by the simulation study.
format Preprint
id arxiv_https___arxiv_org_abs_2505_09713
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Information Spreading in Random Graphs Evoving by Norros-Reittu Model
Markovich, N. M.
Osipov, D. V.
Statistics Theory
Probability
The paper is devoted to the spreading of a message within the random graph evolving by the Norros-Reittu preferential attachment model. The latter model forms random Poissonian numbers of edges between newly added nodes and existing ones. For a pre-fixed time $T^*$, the probability mass functions of the number of nodes obtained the message and the total number of nodes in the graph, as well as the distribution function of their ratio are derived. To this end, the success probability to disseminate the message from the node with the message to the node without message is proved. The exposition is illustrated by the simulation study.
title Information Spreading in Random Graphs Evoving by Norros-Reittu Model
topic Statistics Theory
Probability
url https://arxiv.org/abs/2505.09713