In this paper we consider a renowned stochastic model from sociophysics reported in [1, 2], which describes the diffusion of information by word-of-mouth processes. This general model has a terrific impact to capture both social dynamics among agents and information percolation, in case interaction among individuals plays a keynote role. Here we generalize this model, by means of Linear Programming (LP) formulations, which exploit to some extent the potentialities of sociophysics from a mathematical programming perspective. Our overall approach aims to formally combine a stochastic model with a Linear Programming framework.
An application of Linear Programming to sociophysics models
Andrea Ellero;Giovanni Fasano
;Daniela Favaretto
2020-01-01
Abstract
In this paper we consider a renowned stochastic model from sociophysics reported in [1, 2], which describes the diffusion of information by word-of-mouth processes. This general model has a terrific impact to capture both social dynamics among agents and information percolation, in case interaction among individuals plays a keynote role. Here we generalize this model, by means of Linear Programming (LP) formulations, which exploit to some extent the potentialities of sociophysics from a mathematical programming perspective. Our overall approach aims to formally combine a stochastic model with a Linear Programming framework.File | Dimensione | Formato | |
---|---|---|---|
MACSPro_2020_Ellero-Fasano-Favaretto_published.pdf
accesso aperto
Tipologia:
Documento in Post-print
Licenza:
Accesso libero (no vincoli)
Dimensione
908.49 kB
Formato
Adobe PDF
|
908.49 kB | Adobe PDF | Visualizza/Apri |
I documenti in ARCA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.