303 research outputs found
Opinion evolution in closed community
A simple Ising spin model which can describe a mechanism of making a decision
in a closed community is proposed. It is shown via standard Monte Carlo
simulations that very simple rules lead to rather complicated dynamics and to a
power law in the decision time distribution. It is found that a closed
community has to evolve either to a dictatorship or a stalemate state
(inability to take any common decision). A common decision can be taken in a
"democratic way" only by an open community.Comment: 13 pages, 7 figure
How effective is advertising in duopoly markets?
A simple Ising spin model which can describe the mechanism of advertising in a duopoly market is proposed. In contrast to other agent- based models, the influence does not flow inward from the surrounding neighbors to the center site, but spreads outward from the center to the neighbors. The model thus describes the spread of opinions among customers. It is shown via standard Monte Carlo simulations that very simple rules and inclusion of an external field - an advertising campaign - lead to phase transitions, ie. extreme and fast changes in market share.advertising, oligopoly, duopoly, Ising model, agent-based model
Evolution in a changing environment
We propose a simple model, based on Monte Carlo simulations, for studying the effects of changes in the environment on the adaptation and extinction of evolving species. We show that the geological data of climatic changes are well described by Levy-stable distributions. This leads, in our model, to a fairly good reproduction of the known data on species extinctions. We have also found that the dependence of the probability that a given number of species becomes extinct in one time step, on the number of extinct species shows a cross-over from an exponential to a power-like character.Levy-stable distribution; Monte Carlo simulation; Species extinction; Evolution;
Homogeneous symmetrical threshold model with nonconformity: independence vs. anticonformity
We study two variants of the modified Watts threshold model with a noise
(with nonconformity, in the terminology of social psychology) on a complete
graph. Within the first version, a noise is introduced via so-called
independence, whereas in the second version anticonformity plays the role of a
noise, which destroys the order. The modified Watts threshold model, studied
here, is homogeneous and posses an up-down symmetry, which makes it similar to
other binary opinion models with a single-flip dynamics, such as the
majority-vote and the q-voter models. Because within the majority-vote model
with independence only continuous phase transitions are observed, whereas
within the q-voter model with independence also discontinuous phase transitions
are possible, we ask the question about the factor, which could be responsible
for discontinuity of the order parameter. We investigate the model via the
mean-field approach, which gives the exact result in the case of a complete
graph, as well as via Monte Carlo simulations. Additionally, we provide a
heuristic reasoning, which explains observed phenomena. We show that indeed, if
the threshold r = 0.5, which corresponds to the majority-vote model, an
order-disorder transition is continuous. Moreover, results obtained for both
versions of the model (one with independence and the second one with
anticonformity) give the same results, only rescaled by the factor of 2.
However, for r > 0.5 the jump of the order parameter and the hysteresis is
observed for the model with independence, and both versions of the model give
qualitatively different results.Comment: 12 pages, 4 figures, accepted to Complexit
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