Journal
PHYSICAL REVIEW LETTERS
Volume 107, Issue 6, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevLett.107.068701
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Funding
- Science Foundation Ireland [06/IN.1/I366, MACSI 06/MI/005]
- Science Foundation Ireland (SFI) [06/IN.1/I366] Funding Source: Science Foundation Ireland (SFI)
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Binary-state dynamics (such as the susceptible-infected-susceptible (SIS) model of disease spread, or Glauber spin dynamics) on random networks are accurately approximated using master equations. Standard mean-field and pairwise theories are shown to result from seeking approximate solutions of the master equations. Applications to the calculation of SIS epidemic thresholds and critical points of nonequilibrium spin models are also demonstrated.
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