STOCHASTIC SZNAJD MODEL IN OPEN COMMUNITY

Frank Emmert-Streib ()
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Frank Emmert-Streib: Stowers Institute for Medical Research, 1000 E. 50th Street, Kansas City, MO 64110, USA

International Journal of Modern Physics C (IJMPC), 2005, vol. 16, issue 11, 1693-1699

Abstract: We extend the Sznajd Model for opinion formation by introducing persuasion probabilities for opinions. Moreover, we couple the system to an environment which mimics the application of the opinion. This results in a feedback, representing single-state opinion transitions in opposite to the two-state opinion transitions for persuading other people. We call this modelopinion formation in an open community(OFOC). It can be seen as a stochastic extension of the Sznajd model for an open community, because it allows for a special choice of parameters to recover the original Sznajd model. We demonstrate the effect of feedback in the OFOC model by applying it to a scenario in which, e.g., opinion B is worse then opinion A but easier explained to other people. Casually formulated we analyzed the question, how much better one has to be, in order to persuade other people, provided the opinion is worse. Our results reveal a linear relation between the transition probability for opinion B and the influence of the environment on B.

Keywords: Sznajd Model; Monte Carlo simulation; small-world network; Markov process (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0129183105008217

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