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.
2020
Modeling and Analysis of Complex Systems and Processes - MACSPro’2020
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/3731585
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