Andrea Ellero () (Department of Applied Mathematics, University of Venice) Giovanni Fasano () (Department of Applied Mathematics, University of Venice) Annamaria Sorato () (Department of Applied Mathematics, University of Venice)
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In this paper we analyze the stochastic model proposed by Galam in [2], for information spreading in a `word-of-mouth' process among agents, based on a majority rule. Using the communications rules among agents defined in [2], we first perform simulations of the `word-of-mouth' process and compare the results with the theoretical values predicted by Galam's model. Since some dissimilarities arise in particular when a small number of agents is considered, we suggest some enhancements by introducing a new parameter dependent model. We propose a modified Galam's scheme which is asymptotically coincident with the original model in [2]. Furthermore, for relatively small values of the parameter, we provide a numerical experience proving that the modified model often outperforms the original one, in terms of efficiency.
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Paper provided by Department of Applied Mathematics, University of Venice in its series Working Papers with number
180.
Find related papers by JEL classification: C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
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