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Stochastic Sznajd Model in open community

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Stochastic Sznajd Model in open community. / Emmert-Streib, Frank.

In: International Journal of Modern Physics C, Vol. 16, No. 11, 11.2005, p. 1693-1699.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Emmert-Streib, F 2005, 'Stochastic Sznajd Model in open community', International Journal of Modern Physics C, vol. 16, no. 11, pp. 1693-1699. https://doi.org/10.1142/S0129183105008217

APA

Emmert-Streib, F. (2005). Stochastic Sznajd Model in open community. International Journal of Modern Physics C, 16(11), 1693-1699. https://doi.org/10.1142/S0129183105008217

Vancouver

Emmert-Streib F. Stochastic Sznajd Model in open community. International Journal of Modern Physics C. 2005 Nov;16(11):1693-1699. https://doi.org/10.1142/S0129183105008217

Author

Emmert-Streib, Frank. / Stochastic Sznajd Model in open community. In: International Journal of Modern Physics C. 2005 ; Vol. 16, No. 11. pp. 1693-1699.

Bibtex - Download

@article{75dc85a229e040f58df95eef18f44fdc,
title = "Stochastic Sznajd Model in open community",
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 model opinion 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 = "Markov process, Monte Carlo simulation, Small-world network, Sznajd Model",
author = "Frank Emmert-Streib",
year = "2005",
month = "11",
doi = "10.1142/S0129183105008217",
language = "English",
volume = "16",
pages = "1693--1699",
journal = "International Journal of Modern Physics C",
issn = "0129-1831",
publisher = "World Scientific Publishing",
number = "11",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Stochastic Sznajd Model in open community

AU - Emmert-Streib, Frank

PY - 2005/11

Y1 - 2005/11

N2 - 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 model opinion 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.

AB - 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 model opinion 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.

KW - Markov process

KW - Monte Carlo simulation

KW - Small-world network

KW - Sznajd Model

UR - http://www.scopus.com/inward/record.url?scp=29244483126&partnerID=8YFLogxK

U2 - 10.1142/S0129183105008217

DO - 10.1142/S0129183105008217

M3 - Article

VL - 16

SP - 1693

EP - 1699

JO - International Journal of Modern Physics C

JF - International Journal of Modern Physics C

SN - 0129-1831

IS - 11

ER -