On the duration of a Maki-Thompson epidemic

A Svensson1

  • 1Stockholm University, Department of Statistics, Sweden.

Mathematical Biosciences
|September 1, 1993
PubMed

Insights

In the Maki-Thompson rumor model, approximately 80% of a large population eventually hears a rumor. The study derives the average time for a rumor to spread and die out, finding it grows slowly with population size.

Area of Science:

  • Mathematical modeling
  • Epidemiology
  • Social dynamics

Background:

  • The Maki-Thompson model describes rumor propagation in a population.
  • Previous work established that ~80% of a large population eventually learns a rumor.

Purpose of the Study:

  • To derive the asymptotic mean duration of a rumor's spread in the Maki-Thompson model.
  • To analyze the relationship between rumor duration and population size.

Main Methods:

  • Mathematical derivation of the asymptotic mean time for rumor extinction.
  • Analysis of the Maki-Thompson model under large population assumptions.

Main Results:

  • The asymptotic mean duration a rumor persists is derived.
  • Rumor duration grows slowly with population size (W).
  • The formula for mean duration is approximately [2.68 ln(W) + 1.34]/μ time units, where μ is the average number of contacts per person per time unit.

Conclusions:

  • The time it takes for a rumor to die out increases slowly with population size.
  • The derived formula provides a quantitative estimate for rumor persistence duration in large populations.

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