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- Other systems
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- 2019-01-21
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Description: In this paper,the effect on collective opinions of filtering algorithms managed by social network platforms is modeled and investigated. A stochastic multi-agent model for opinion dynamics is proposed, that accounts for a centralized tuning of the strength of interaction between individuals. The evolution of each individual opinion is described by a Markov chain, whose transition rates are affected by the opinions of the neighbors through influence parameters. The properties of this model are studied in a general setting as well as in interesting special cases.
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Filename | Size | Date |
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1-s2.0-S0005109818305557-main.pdf | 1088123 | 2018-12-11 |