Total flooding time and rumor propagation on graphs
Darcy Camargo, Serguei Popov

TL;DR
This paper analyzes the total flooding time in rumor propagation models on graphs, comparing the time for multiple pieces of information to the single-information case, revealing an asymptotic ratio of 3/2 for complete graphs.
Contribution
It introduces a flooding time model with multiple informations and derives the asymptotic ratio of propagation times on complete graphs, extending understanding of rumor spread dynamics.
Findings
Expected propagation time ratio approaches 3/2 for complete graphs.
Provides a comparison between multi-information and single-information flooding times.
Analyzes rumor spread dynamics in discrete-time graph models.
Abstract
We study a model of rumor propagation in discrete time where each site in the graph has initially a distinct information; we are interested in the number of "conversations" before the entire graph knows all informations. This problem can be described as a flooding time problem with multiple liquids. For the complete graph we compare the ratio between the expected propagation time for all informations and the corresponding time for a single information, obtaining the asymptotic ratio between them.
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