146 research outputs found
Relaxation under outflow dynamics with random sequential updating
In this paper we compare the relaxation in several versions of the Sznajd
model (SM) with random sequential updating on the chain and square lattice. We
start by reviewing briefly all proposed one dimensional versions of SM. Next,
we compare the results obtained from Monte Carlo simulations with the mean
field results obtained by Slanina and Lavicka . Finally, we investigate the
relaxation on the square lattice and compare two generalizations of SM, one
suggested by Stauffer and another by Galam. We show that there are no
qualitative differences between these two approaches, although the relaxation
within the Galam rule is faster than within the well known Stauffer rule.Comment: 9 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.Comment: 7 pages, 6 figures; v2: cosmetic change
Continuous Opinions and Discrete Actions in Opinion Dynamics Problems
A model where agents show discrete behavior regarding their actions, but have
continuous opinions that are updated by interacting with other agents is
presented. This new updating rule is applied to both the voter and Sznajd
models for interaction between neighbors and its consequences are discussed.
The appearance of extremists is naturally observed and it seems to be a
characteristic of this model.Comment: 10 pages, 4 figures, minor changes for improved clarit
Irrelevance of information outflow in opinion dynamics models
The Sznajd model for opinion dynamics has attracted a large interest as a
simple realization of the psychological principle of social validation. As its
most salient feature, it has been claimed that the Sznajd model is
qualitatively different from other ordering processes, because it is the only
one featuring outflow of information as opposed to inflow. We show that this
claim is unfounded by presenting a generalized zero-temperature Glauber-type of
dynamics which yields results indistinguishable from those of the Sznajd model.
In one-dimension we also derive an exact expression for the exit probability of
the Sznajd model, that turns out to coincide with the result of an analytical
approach based on the Kirkwood approximation. This observation raises
interesting questions about the applicability and limitations of this approach.Comment: 5 pages, 4 figure
Outflow Dynamics in Modeling Oligopoly Markets: The Case of the Mobile Telecommunications Market in Poland
In this paper we introduce two models of opinion dynamics in oligopoly
markets and apply them to a situation, where a new entrant challenges two
incumbents of the same size. The models differ in the way the two forces
influencing consumer choice -- (local) social interactions and (global)
advertising -- interact. We study the general behavior of the models using the
Mean Field Approach and Monte Carlo simulations and calibrate the models to
data from the Polish telecommunications market. For one of the models
criticality is observed -- below a certain critical level of advertising the
market approaches a lock-in situation, where one market leader dominates the
market and all other brands disappear. Interestingly, for both models the best
fits to real data are obtained for conformity level . This
agrees very well with the conformity level found by Solomon Asch in his famous
social experiment
Time dependence of the survival probability of an opinion in a closed community
The time dependence of the survival probability of an opinion in a closed
community has been investigated in accordance with social temperature by using
the Kawasaki-exchange dynamics based on previous study in Ref. [1]. It is shown
that the survival probability of opinion decays with stretched exponential law
consistent with previous static model. However, the crossover regime in the
decay of the survival probability has been observed in this dynamic model
unlike previous model. The decay characteristics of both two regimes obey to
stretched exponential.Comment: Revised version of the paper (9 page, 5 Figures). Submitted to Int.
J. Mod. Phys.
Majority versus minority dynamics: Phase transition in an interacting two-state spin system
We introduce a simple model of opinion dynamics in which binary-state agents
evolve due to the influence of agents in a local neighborhood. In a single
update step, a fixed-size group is defined and all agents in the group adopt
the state of the local majority with probability p or that of the local
minority with probability 1-p. For group size G=3, there is a phase transition
at p_c=2/3 in all spatial dimensions. For p>p_c, the global majority quickly
predominates, while for p<p_c, the system is driven to a mixed state in which
the densities of agents in each state are equal. For p=p_c, the average
magnetization (the difference in the density of agents in the two states) is
conserved and the system obeys classical voter model dynamics. In one dimension
and within a Kirkwood decoupling scheme, the final magnetization in a
finite-length system has a non-trivial dependence on the initial magnetization
for all p.ne.p_c, in agreement with numerical results. At p_c, the exact 2-spin
correlation functions decay algebraically toward the value 1 and the system
coarsens as in the classical voter model.Comment: 11 pages, 3 figures, revtex4 2-column format; minor revisions for
publication in PR
Ferromagnetic fluid as a model of social impact
The paper proposes a new model of spin dynamics which can be treated as a
model of sociological coupling between individuals. Our approach takes into
account two different human features: gregariousness and individuality. We will
show how they affect a psychological distance between individuals and how the
distance changes the opinion formation in a social group. Apart from its
sociological aplications the model displays the variety of other interesting
phenomena like self-organizing ferromagnetic state or a second order phase
transition and can be studied from different points of view, e.g. as a model of
ferromagnetic fluid, complex evolving network or multiplicative random process.Comment: 8 pages, 5 figure
Chaotic, staggered and polarized dynamics in opinion forming: the contrarian effect
We revisit the no tie breaking 2-state Galam contrarian model of opinion
dynamics for update groups of size 3. While the initial model assumes a
constant density of contrarians a for both opinions, it now depends for each
opinion on its global support. Proportionate contrarians are thus found to
indeed preserve the former case main results. However, restricting the
contrarian behavior to only the current collective majority, makes the dynamics
more complex with novel features. For a density a<a_c=1/9 of one-sided
contrarians, a chaotic basin is found in the fifty-fifty region separated from
two majority-minority point attractors, one on each side. For 1/9<a< 0.301 only
the chaotic basin survives. In the range a>0.301 the chaotic basin disappears
and the majority starts to alternate between the two opinions with a staggered
flow towards two point attractors. We then study the effect of both, decoupling
the local update time sequence from the contrarian behavior activation, and a
smoothing of the majority rule. A status quo driven bias for contrarian
activation is also considered. Introduction of unsettled agents driven in the
debate on a contrarian basis is shown to only shrink the chaotic basin. The
model may shed light to recent apparent contradictory elections with on the one
hand very tied results like in US in 2000 and in Germany in 2002 and 2005, and
on the other hand, a huge majority like in France in 2002.Comment: 17 pages, 10 figure
Some new results on one-dimensional outflow dynamics
In this paper we introduce modified version of one-dimensional outflow
dynamics (known as a Sznajd model) which simplifies the analytical treatment.
We show that simulations results of the original and modified rules are exactly
the same for various initial conditions. We obtain the analytical formula for
exit probability using Kirkwood approximation and we show that it agrees
perfectly with computer simulations in case of random initial conditions.
Moreover, we compare our results with earlier analytical calculations obtained
from renormalization group and from general sequential probabilistic frame
introduced by Galam. Using computer simulations we investigate the time
evolution of several correlation functions to show if Kirkwood approximation
can be justified. Surprisingly, it occurs that Kirkwood approximation gives
correct results even for these initial conditions for which it cannot be easily
justified.Comment: 6 pages, 7 figure
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