TY - JOUR
T1 - Influence of network structure on rumor propagation
AU - Zhou, Jie
AU - Liu, Zonghua
AU - Li, Baowen
PY - 2007/9/3
Y1 - 2007/9/3
N2 - Rumor propagation in complex networks is studied analytically and numerically by using the SIR model. Analytically, a mean-field theory is worked out by considering the influence of network topological structure and the unequal footings of neighbors of an infected node in propagating the rumor. It is found that the final infected density of population with degree k is ρ (k) = 1 - exp (- α k), where α is a parameter related to network structure. The number of the total final infected nodes depends on the network topological structure and will decrease when the structure changes from random to scale-free network. Numerical simulations confirm the theoretical predictions.
AB - Rumor propagation in complex networks is studied analytically and numerically by using the SIR model. Analytically, a mean-field theory is worked out by considering the influence of network topological structure and the unequal footings of neighbors of an infected node in propagating the rumor. It is found that the final infected density of population with degree k is ρ (k) = 1 - exp (- α k), where α is a parameter related to network structure. The number of the total final infected nodes depends on the network topological structure and will decrease when the structure changes from random to scale-free network. Numerical simulations confirm the theoretical predictions.
UR - https://www.scopus.com/pages/publications/34548031635
U2 - 10.1016/j.physleta.2007.01.094
DO - 10.1016/j.physleta.2007.01.094
M3 - 文章
AN - SCOPUS:34548031635
SN - 0375-9601
VL - 368
SP - 458
EP - 463
JO - Physics Letters, Section A: General, Atomic and Solid State Physics
JF - Physics Letters, Section A: General, Atomic and Solid State Physics
IS - 6
ER -