The rumor percolation model and its variations
Valdivino V. Junior, F\'abio P. Machado, Krishnamurthi Ravishankar

TL;DR
This paper reviews recent developments in rumor spreading models based on percolation theory, highlighting how the persistence of rumors relates to the formation of giant components in graphs.
Contribution
It provides a concise overview of recent results connecting rumor models with percolation theory, emphasizing the role of giant components in rumor persistence.
Findings
Rumor persistence linked to giant component formation.
Percolation theory offers insights into rumor spread dynamics.
Recent results clarify conditions for rumor survival.
Abstract
The study of rumor models from a percolation theory point of view has gained a few adepts in the last few years. The persistence of a rumor, which may consistently spread out throughout a population can be associated to the existence of a giant component containing the origin of a graph. That is one of the main interest in percolation theory. In this paper we present a quick review of recent results on rumor models of this type.
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Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · Stochastic processes and statistical mechanics
