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dc.contributor.authorHuang, Chung-Yuanen_US
dc.contributor.authorTsai, Yu-Shiuanen_US
dc.contributor.authorSun, Chuen-Tsaien_US
dc.contributor.authorHsieh, Ji-Lungen_US
dc.contributor.authorCheng, Chia-Yingen_US
dc.date.accessioned2014-12-08T15:09:49Z-
dc.date.available2014-12-08T15:09:49Z-
dc.date.issued2009-03-01en_US
dc.identifier.issn0037-5497en_US
dc.identifier.urihttp://dx.doi.org/10.1177/0037549709103775en_US
dc.identifier.urihttp://hdl.handle.net/11536/7516-
dc.description.abstractCritical thresholds represent one of the most important diffusion indicators of epidemic outbreaks. However, we believe that recent studies have overemphasized ways that the power-law connectivity distribution features of social networks affect epidemic dynamics and critical thresholds. As a result, two important factors have been overlooked: resource limitations and transmission costs associated with social interactions and daily contact. Here we present our results from the simultaneous application of mean-field theory and an agent-based network simulation approach for analyzing the effects of resources and costs on epidemic dynamics and critical thresholds. Our main findings are: (a) a significant critical threshold does exist when resources and costs are taken into consideration, and it has a lower bound whenever contagion events occur in scale-free networks; (b) when transmission costs increase or individual resources decrease, critical contagion thresholds in scale-free networks grow linearly and steady density curves shrink linearly;(c) regardless of whether the resources of individuals obey delta, uniform, or normal distributions, they have the same critical thresholds and epidemic dynamics as long as the average value of usable resources remains the same across different scale-free networks; and (d) the spread of epidemics in scale-free networks remains controllable as long as resources are properly restricted and intervention strategy investments are significantly increased.en_US
dc.language.isoen_USen_US
dc.subjectcritical thresholdsen_US
dc.subjectcomputer virusesen_US
dc.subjectcontagious diseasesen_US
dc.subjecteffective spreading rateen_US
dc.subjectcomplex networksen_US
dc.subjecthomogeneous networksen_US
dc.subjectheterogeneous networksen_US
dc.titleInfluences of Resource Limitations and Transmission Costs on Epidemic Simulations and Critical Thresholds in Scale-Free Networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1177/0037549709103775en_US
dc.identifier.journalSIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONALen_US
dc.citation.volume85en_US
dc.citation.issue3en_US
dc.citation.spage205en_US
dc.citation.epage219en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000265219100004-
dc.citation.woscount6-
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