TY - JOUR
T1 - Geographical effects on epidemic spreading in scale-free networks
AU - Xu, Xin-Jian
AU - Wang, Wen-Xu
AU - Zhou, Tao
AU - Chen, Guanrong
PY - 2006/12
Y1 - 2006/12
N2 - Many real networks are embedded in a metric space: the interactions among individuals depend on their spatial distances and usually take place among their nearest neighbors. In this paper, we introduce a modified susceptible-infected- susceptible (SIS) model to study geographical effects on the spread of diseases by assuming that the probability of a. healthy individual infected by an infectious one is inversely proportional to the Euclidean distance between them. It is found that geography plays a more important role than hubs in disease spreading: the more geographically constrained the network is, the more highly the epidemic prevails. © World Scientific Publishing Company.
AB - Many real networks are embedded in a metric space: the interactions among individuals depend on their spatial distances and usually take place among their nearest neighbors. In this paper, we introduce a modified susceptible-infected- susceptible (SIS) model to study geographical effects on the spread of diseases by assuming that the probability of a. healthy individual infected by an infectious one is inversely proportional to the Euclidean distance between them. It is found that geography plays a more important role than hubs in disease spreading: the more geographically constrained the network is, the more highly the epidemic prevails. © World Scientific Publishing Company.
KW - Epidemic spreading
KW - Scale-free networks
UR - http://www.scopus.com/inward/record.url?scp=33846351551&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33846351551&origin=recordpage
U2 - 10.1142/S0129183106010194
DO - 10.1142/S0129183106010194
M3 - 21_Publication in refereed journal
VL - 17
SP - 1815
EP - 1822
JO - International Journal of Modern Physics C
JF - International Journal of Modern Physics C
SN - 0129-1831
IS - 12
ER -