We study the behavior of epidemic spreading in networks, and, in particular, scale free networks. We use the Susceptible-Infected-Removed (SIR) epidemiological model. We give simulation results for the dynamics of epidemic spreading. By mapping the model into a static bond-percolation model we derive analytical results for the total number of infected individuals. We study this model with various immunization strategies, including random, targeted and acquaintance immunization.
机构:
LONDON UNIV, IMPERIAL COLL, DEPT PURE & APPL BIOL, LONDON SW7 2BB, ENGLANDLONDON UNIV, IMPERIAL COLL, DEPT PURE & APPL BIOL, LONDON SW7 2BB, ENGLAND
MAY, RM
ANDERSON, RM
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机构:
LONDON UNIV, IMPERIAL COLL, DEPT PURE & APPL BIOL, LONDON SW7 2BB, ENGLANDLONDON UNIV, IMPERIAL COLL, DEPT PURE & APPL BIOL, LONDON SW7 2BB, ENGLAND
机构:
LONDON UNIV, IMPERIAL COLL, DEPT PURE & APPL BIOL, LONDON SW7 2BB, ENGLANDLONDON UNIV, IMPERIAL COLL, DEPT PURE & APPL BIOL, LONDON SW7 2BB, ENGLAND
MAY, RM
ANDERSON, RM
论文数: 0引用数: 0
h-index: 0
机构:
LONDON UNIV, IMPERIAL COLL, DEPT PURE & APPL BIOL, LONDON SW7 2BB, ENGLANDLONDON UNIV, IMPERIAL COLL, DEPT PURE & APPL BIOL, LONDON SW7 2BB, ENGLAND