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dc.contributor.authorTsai, Yu-Shiuanen_US
dc.contributor.authorSun, Chuen-Tsaien_US
dc.contributor.authorHuang, Chung-Yuanen_US
dc.date.accessioned2014-12-08T15:12:03Z-
dc.date.available2014-12-08T15:12:03Z-
dc.date.issued2011-03-01en_US
dc.identifier.issn0037-5497en_US
dc.identifier.urihttp://dx.doi.org/10.1177/0037549709351543en_US
dc.identifier.urihttp://hdl.handle.net/11536/9229-
dc.description.abstractJames R. Wilson points out what he describes as flaws in our proof in 'Influences of Resource Limitations and Transmission Costs on Epidemic Simulations and Critical Thresholds in Scale-free Networks' (Simulation 85(3): 205-219) and offers an alternative steady-state behavior derivation based on our epidemic simulation model. In this response we will explain our definitions for the terms used in our paper and the derivation process for our analysis, then compare and contrast our mathematical model with that proposed by Wilson. We suggest that more compartmental models can be used to support our argument that increasing transmission costs or decreasing individual resources increases the critical threshold of a contagion event in a scale-free network.en_US
dc.language.isoen_USen_US
dc.subjectcritical thresholdsen_US
dc.subjecteffective spreading rateen_US
dc.subjectcomplex networksen_US
dc.subjectheterogeneous networksen_US
dc.subjectresource limitationsen_US
dc.subjecttransmission costsen_US
dc.titleResponse to Wilson's note on 'Influences of resource limitations and transmission costs on epidemic simulations and critical thresholds in scale-free networks'en_US
dc.typeArticleen_US
dc.identifier.doi10.1177/0037549709351543en_US
dc.identifier.journalSIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONALen_US
dc.citation.volume87en_US
dc.citation.issue3en_US
dc.citation.spage267en_US
dc.citation.epage270en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000287024800007-
dc.citation.woscount0-
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