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A complex network model for a society with socioeconomic classes.
Jr, A N Licciardi; Monteiro, L H A.
  • Jr ANL; Universidade de São Paulo, Escola Politécnica, São Paulo, SP, Brazil.
  • Monteiro LHA; Universidade Presbiteriana Mackenzie, Escola de Engenharia, São Paulo, SP, Brazil.
Math Biosci Eng ; 19(7): 6731-6742, 2022 05 04.
Article in English | MEDLINE | ID: covidwho-1869896
ABSTRACT
People's attitudes and behaviors are partially shaped by the socioeconomic class to which they belong. In this work, a model of scale-free graph is proposed to represent the daily personal contacts in a society with three social classes. In the model, the probability of having a connection between two individuals depends on their social classes and on their physical distance. Numerical simulations are performed by considering sociodemographic data from France, Peru, and Zimbabwe. For the complex networks built for these three countries, average values of node degree, shortest-path length, clustering coefficient, closeness centrality, betweenness centrality, and eigenvector centrality are computed. These numerical results are discussed by taking into account the propagation of information about COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Math Biosci Eng Year: 2022 Document Type: Article Affiliation country: Mbe.2022317

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Math Biosci Eng Year: 2022 Document Type: Article Affiliation country: Mbe.2022317