Optimal control strategies for an advertisement viral diffusion
| Autor: | M. Teresa T. Monteiro, João N.C. Gonçalves, Helena Sofia Rodrigues |
|---|---|
| Přispěvatelé: | Universidade do Minho |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Viral marketing
Science & Technology Computer science Process (engineering) Information diffusion strategies media_common.quotation_subject 05 social sciences Advertising 02 engineering and technology Investment (macroeconomics) Optimal control Mathematical modelling of infectious disease Optimal control theory 020204 information systems 0502 economics and business 0202 electrical engineering electronic engineering information engineering 050211 marketing Uniqueness Diffusion (business) Publicity SIR epidemiological model media_common |
| Zdroj: | Springer Proceedings in Mathematics & Statistics ISBN: 9783319715827 |
| Popis: | The process of diffusing viral marketing campaigns through social networks can be modeled under concepts of mathematical epidemiology. Based on a Susceptible-Infected-Recovered (SIR) epidemiological model, the benefits of optimal control theory on the diffusion of a real viral advertisement are studied. Two optimal control strategies that could help marketers to maximize the spread of information and minimize the costs associated to it in optimal time windows are analyzed and compared. The uniqueness of optimality system is proved. Numerical simulations show that high investment costs in publicity strategies do not imply high overall levels of information diffusion. This paper contributes to the current literature by studying a viral marketing campaign using real numerical data. The authors would like to acknowledge the comments and suggestions from the reviewers, which improved the quality of the paper. This work was supported in part by the Portuguese Foundation for Science and Technology (FCT - Fundacao para a Ciencia e a Tecnologia), through CIDMA - Center for Research and Development in Mathematics and Applications, within project UID/MAT/04106/2013; and through Algoritmi R&D Center, under COMPETE: POCI-01-0145-FEDER-007043 within the Project Scope: UID/CEC/00319/2013. info:eu-repo/semantics/publishedVersion |
| Databáze: | OpenAIRE |
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