Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/16652
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dc.contributor.authorRodrigues, Helena Sofiapt
dc.contributor.authorFonseca, Manuel Josépt
dc.date.accessioned2017-01-13T12:42:52Z-
dc.date.issued2016-11-15-
dc.identifier.issn0170-4214pt
dc.identifier.urihttp://hdl.handle.net/10773/16652-
dc.description.abstractIn epidemiology, an epidemic is defined as the spread of an infectious disease to a large number of people in a given population within a short period of time. In the marketing context, a message is viral when it is broadly sent and received by the target market through person-to-person transmission. This specific marketing communication strategy is commonly referred as viral marketing. Because of this similarity between an epidemic and the viral marketing process and because the understanding of the critical factors to this communications strategy effectiveness remain largely unknown, the mathematical models in epidemiology are presented in this marketing specific field. In this paper, an epidemiological model susceptible-infected-recovered to study the effects of a viral marketing strategy is presented. It is made a comparison between the disease parameters and the marketing application, and MATLAB simulations are performed. Finally, some conclusions are carried out and their marketing implications are exposed: interactions across the parameters suggest some recommendations to marketers, as the profitability of the investment or the need to improve the targeting criteria of the communications campaigns.pt
dc.language.isoengpt
dc.publisherWileypt
dc.relationFCT - UID/MAT/04106/2013pt
dc.rightsrestrictedAccesspor
dc.subjectViral marketingpt
dc.subjectWord-of-mouthpt
dc.subjectEpidemiological modelpt
dc.subjectInfectivitypt
dc.subjectNumerical simulationspt
dc.subjectRecovery ratept
dc.subjectSeed populationpt
dc.titleCan information be spread as a virus? Viral Marketing as epidemiological modelpt
dc.typearticlept
dc.peerreviewedyespt
ua.distributioninternationalpt
degois.publication.firstPage4780pt
degois.publication.issue16pt
degois.publication.lastPage4786pt
degois.publication.titleMathematical Methods in the Applied Sciencespt
degois.publication.volume39pt
dc.date.embargo10000-01-01-
dc.identifier.doi10.1002/mma.3783pt
Appears in Collections:CIDMA - Artigos
SCG - Artigos

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