2000
DOI: 10.1142/s012918310000105x
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Generalization to Square Lattice of Sznajd Sociophysics Model

Abstract: The one-dimensional Sznajd model "united we stand, divided well fall" is generalized to the square lattice with similar fixed points. Only in two of the variants are the distribution of equilibration times roughly log-normal. Probabilistic generalizations destroyed the "dictatorial" fixed points.

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Cited by 151 publications
(197 citation statements)
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“…This does not hold for the 1 node convincing case (see Fig. 2) where there is no such transition and the mean opinion of the system varies smoothly as a function of the initial density of opinion +1, as well the results does not have any dependence on the network size N. The phase transition at p c = 1/2 here observed does not exist in one dimension [4] or when a single site [9] (instead of a pair or plaquette) on the square lattice [8] convinces its neighbors, although it is also found on the square lattice when a plaquette or a neighboring pair persuades its neighbors [8], on a correlated-diluted square lattice [11], on a triangular and simple cubic lattice if a pair convinces its 8 (or 10, respectively) neighbors [13], on the Barabási-Albert network [12] and on a pseudo-fractal network [14].…”
Section: The Sznajd Model 23 Binary Opinionssupporting
confidence: 58%
“…This does not hold for the 1 node convincing case (see Fig. 2) where there is no such transition and the mean opinion of the system varies smoothly as a function of the initial density of opinion +1, as well the results does not have any dependence on the network size N. The phase transition at p c = 1/2 here observed does not exist in one dimension [4] or when a single site [9] (instead of a pair or plaquette) on the square lattice [8] convinces its neighbors, although it is also found on the square lattice when a plaquette or a neighboring pair persuades its neighbors [8], on a correlated-diluted square lattice [11], on a triangular and simple cubic lattice if a pair convinces its 8 (or 10, respectively) neighbors [13], on the Barabási-Albert network [12] and on a pseudo-fractal network [14].…”
Section: The Sznajd Model 23 Binary Opinionssupporting
confidence: 58%
“…However, if we look at figure 5 we see that Kirkwood approximation given equations by (13) and (14) cannot be justified by computer simulations.…”
Section: P-2mentioning
confidence: 92%
“…1). It is worth to notice that step-like function describes exit probability in the case of two dimensional outflow dynamics [13], but not in one dimension [14].…”
mentioning
confidence: 99%
“…Instead of a pair, also a single site, or a plaquette of four agreeing neighbours has been simulated [19,21] to convince all neighbours.…”
Section: Sznajdmentioning
confidence: 99%