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10.3934/mbe.2022317 http://scihub22266oqcxt.onion/10.3934/mbe.2022317 35730280!ä!35730280 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Math+Biosci+Eng 2022 ; 19 (7): 6731-6742 Nephropedia Template TP {{tp|p=35730280|t=2022. A complex network model for a society with socioeconomic classes |pdf=|usr=}}{{35730280}} gab.com Text A complex network model for a society with socioeconomic classes JO: Math Biosci Eng http://www.kidney.de/pget.php?&tw=1&pmid=35730280 #FOAvip 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. Twit Text FOAVip A complex network model for a society with socioeconomic classes ????Math Biosci Eng http://www.kidney.de/pget.php?&tw=1&pmid=35730280 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35730280 #FOAvip English Wikipedia <ref>{{Cite pmid|35730280}}</ref> A complex network model for a society with socioeconomic classes #MMPMID35730280 Jr ANL; Monteiro LHA Math Biosci Eng 2022[May]; 19 (7): 6731-6742 PMID35730280show ga 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. |*COVID-19/epidemiology[MESH] |Humans[MESH]A complex network model for a society with socioeconomic classes (epmc).pdf DeepDyve Pubget Overpricing