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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Information spreading in a population modeled by continuous asynchronous probabilistic cellular automata

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Author(s):
Silva, E. [1] ; Pereira, F. H. [1, 2] ; Schimit, P. H. T. [1]
Total Authors: 3
Affiliation:
[1] Univ Nove Julho, Informat & Knowledge Management Grad Program, Rua Vergueiro 235-249, BR-05001001 Sao Paulo, SP - Brazil
[2] Univ Nove Julho, Ind Engn Grad Program, Rua Vergueiro 235-249, BR-05001001 Sao Paulo, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: COMPUTER COMMUNICATIONS; v. 154, p. 288-297, MAR 15 2020.
Web of Science Citations: 0
Abstract

In this paper, we propose a model for information propagation in a population based on cellular automata. Different to what is commonly used in the models of the area, instead of a binary level for the information, individuals have a level of knowledge. Moreover, the population can have a marketing campaign to help to spread the information with a certain limit due to the consideration of marketing rejection in the model. Numerical simulations show that these campaigns must be wisely set in order to not saturate the population and decrease the marketing balance due to the rejection. The simulation data is statistically analyzed by using principal component analysis in order to identify the most relevant variables for the model output. The conclusion is that dealing with this rejection is difficult, as well as choosing the percentage of the population which will receive the marketing, and along with the weight for the word-of-mouth were the most important variables of the model according to the simulations and the principal component analysis. (AU)

FAPESP's process: 17/12671-8 - Laboratory of populational dynamics
Grantee:Pedro Henrique Triguis Schimit
Support Opportunities: Regular Research Grants