Epidemic outbreaks in complex heterogeneous networks Export

@article{citeulike:1305568, abstract = {We present a detailed analytical and numerical study for the spreading of infections with acquired immunity in complex population networks. We show that the large connectivity fluctuations usually found in these networks strengthen considerably the incidence of epidemic outbreaks. Scale-free networks, which are characterized by diverging connectivity fluctuations in the limit of a very large number of nodes, exhibit the lack of an epidemic threshold and always show a finite fraction of infected individuals. This particular weakness, observed also in models without immunity, defines a new epidemiological framework characterized by a highly heterogeneous response of the system to the introduction of infected individuals with different connectivity. The understanding of epidemics in complex networks might deliver new insights in the spread of information and diseases in biological and technological networks that often appear to be characterized by complex heterogeneous architectures.}, author = {Moreno, Y. and Pastor-Satorras, R. and Vespignani, A.}, citeulike-article-id = {1305568}, citeulike-linkout-0 = {http://dx.doi.org/10.1140/epjb/e20020122}, day = {1}, doi = {10.1140/epjb/e20020122}, journal = {The European Physical Journal B - Condensed Matter and Complex Systems}, keywords = {epidemicsonnetworks}, month = {April}, number = {4}, pages = {521--529}, posted-at = {2007-08-24 18:53:07}, priority = {2}, title = {Epidemic outbreaks in complex heterogeneous networks}, url = {http://dx.doi.org/10.1140/epjb/e20020122}, volume = {26}, year = {2002} }

TY - JOUR ID - citeulike:1305568 L3 - citeulike-article-id:1305568 N2 - We present a detailed analytical and numerical study for the spreading of infections with acquired immunity in complex population networks. We show that the large connectivity fluctuations usually found in these networks strengthen considerably the incidence of epidemic outbreaks. Scale-free networks, which are characterized by diverging connectivity fluctuations in the limit of a very large number of nodes, exhibit the lack of an epidemic threshold and always show a finite fraction of infected individuals. This particular weakness, observed also in models without immunity, defines a new epidemiological framework characterized by a highly heterogeneous response of the system to the introduction of infected individuals with different connectivity. The understanding of epidemics in complex networks might deliver new insights in the spread of information and diseases in biological and technological networks that often appear to be characterized by complex heterogeneous architectures. IS - 4 JF - The European Physical Journal B - Condensed Matter and Complex Systems EP - 529 TI - Epidemic outbreaks in complex heterogeneous networks VL - 26 SP - 521 KW - epidemicsonnetworks AU - Moreno, Y AU - Pastor-Satorras, R AU - Vespignani, A PY - 2002/04/01/ UR - http://dx.doi.org/10.1140/epjb/e20020122 ER -