30 research outputs found
Non-Universality in Semi-Directed Barabasi-Albert Networks
In usual scale-free networks of Barabasi-Albert type, a newly added node
selects randomly m neighbors from the already existing network nodes,
proportionally to the number of links these had before. Then the number N(k) of
nodes with k links each decays as 1/k^gamma where gamma=3 is universal, i.e.
independent of m. Now we use a limited directedness in the construction of the
network, as a result of which the exponent gamma decreases from 3 to 2 for
increasing m.Comment: 5 pages including 2 figures and computer progra
Monte Carlo simulation of Ising model on directed Barabasi-Albert network
The existence of spontaneous magnetization of Ising spins on directed
Barabasi-Albert networks is investigated with seven neighbors, by using Monte
Carlo simulations. In large systems we see the magnetization for different
temperatures T to decay after a characteristic time tau, which is extrapolated
to diverge at zero temperature.Comment: Error corrected, main conclusion unchanged; for Int. J. Mod. Phys. C
16, issue 4 (2005
Ising model spin S=1 on directed Barabasi-Albert networks
On directed Barabasi-Albert networks with two and seven neighbours selected
by each added site, the Ising model with spin S=1/2 was seen not to show a
spontaneous magnetisation. Instead, the decay time for flipping of the
magnetisation followed an Arrhenius law for Metropolis and Glauber algorithms,
but for Wolff cluster flipping the magnetisation decayed exponentially with
time. On these networks the
Ising model spin S=1 is now studied through Monte Carlo simulations.
However, in this model, the order-disorder phase transition is well defined
in this system. We have obtained a first-order phase transition for values of
connectivity m=2 and m=7 of the directed Barabasi-Albert network.Comment: 8 pages for Int. J. Mod. Phys. C; e-mail: [email protected]
Simulation of majority rule disturbed by power-law noise on directed and undirected Barabasi-Albert networks
On directed and undirected Barabasi-Albert networks the Ising model with spin
S=1/2 in the presence of a kind of noise is now studied through Monte Carlo
simulations. The noise spectrum P(n) follows a power law, where P(n) is the
probability of flipping randomly select n spins at each time step. The noise
spectrum P(n) is introduced to mimic the self-organized criticality as a model
influence of a complex environment. In this model, different from the square
lattice, the order-disorder phase transition of the order parameter is not
observed. For directed Barabasi-Albert networks the magnetisation tends to zero
exponentially and for undirected Barabasi-Albert networks, it remains constant.Comment: 6 pages including many figures, for Int. J. Mod. Phys.
Comparison of Ising magnet on directed versus undirected Erdos-Renyi and scale-free network
Scale-free networks are a recently developed approach to model the
interactions found in complex natural and man-made systems. Such networks
exhibit a power-law distribution of node link (degree) frequencies n(k) in
which a small number of highly connected nodes predominate over a much greater
number of sparsely connected ones. In contrast, in an Erdos-Renyi network each
of N sites is connected to every site with a low probability p (of the orde r
of 1/N). Then the number k of neighbors will fluctuate according to a Poisson
distribution. One can instead assume that each site selects exactly k neighbors
among the other sites. Here we compare in both cases the usual network with the
directed network, when site A selects site B as a neighbor, and then B
influences A but A does not influence B. As we change from undirected to
directed scale-free networks, the spontaneous magnetization vanishes after an
equilibration time following an Arrhenius law, while the directed ER networks
have a positive Curie temperature.Comment: 10 pages including all figures, for Int. J, Mod. Phys. C 1
Reexamination of scaling in the five-dimensional Ising model
In three dimensions, or more generally, below the upper critical dimension,
scaling laws for critical phenomena seem well understood, for both infinite and
for finite systems. Above the upper critical dimension of four, finite-size
scaling is more difficult.
Chen and Dohm predicted deviation in the universality of the Binder cumulants
for three dimensions and more for the Ising model. This deviation occurs if the
critical point T = Tc is approached along lines of constant A = L*L*(T-Tc)/Tc,
then different exponents a function of system size L are found depending on
whether this constant A is taken as positive, zero, or negative. This effect
was confirmed by Monte Carlo simulations with Glauber and Creutz kinetics.
Because of the importance of this effect and the unclear situation in the
analogous percolation problem, we here reexamine the five-dimensional Glauber
kinetics.Comment: 8 pages including 5 figure
Highly Nonlinear Ising Model and Social Segregation
The usual interaction energy of the random field Ising model in statistical
physics is modified by complementing the random field by added to the energy of
the usual Ising model a nonlinear term S^n were S is the sum of the neighbor
spins, and n=0,1,3,5,7,9,11. Within the Schelling model of urban segregation,
this modification corresponds to housing prices depending on the immediate
neighborhood. Simulations at different temperatures, lattice size, magnetic
field, number of neighbors and different time intervals showed that results for
all n are similar, expect for n=3 in violation of the universality principle
and the law of corresponding states. In order to find the critical
temperatures, for large n we no longer start with all spins parallel but
instead with a random configuration, in order to facilitate spin flips.
However, in all cases we have a Curie temperature with phase separation or
long-range segregation only below this Curie temperature, and it is
approximated by a simple formula: Tc is proportional to 1+m for n=1, while Tc
is roughly proportional to m for n >> 1.Comment: 10 pages including many figure
Simulation of Demographic Change in Palestinian Territories
Mortality, birth rates and retirement play a major role in demographic
changes. In most cases, mortality rates decreased in the past century without
noticeable decrease in fertility rates, this leads to a significant increase in
population growth. In many poor countries like Palestinian territories the
number of births has fallen and the life expectancy increased.
In this article we concentrate on measuring, analyzing and extrapolating the
age structure in Palestine a few decades ago into future. A Fortran program has
been designed and used for the simulation and analysis of our statistical data.
This study of demographic change in Palestine has shown that Palestinians will
have in future problems as the strongest age cohorts are the above-60-year
olds. We therefore recommend the increase of both the retirement age and women
employment.Comment: For Int. J. Mod. Phys. C 18, issue 11; 9 pages including figures and
progra
Majority-vote on directed Small-World networks
On directed Small-World networks the
Majority-vote model with noise is now studied through Monte Carlo
simulations. In this model, the order-disorder phase transition of the order
parameter is well defined in this system. We calculate the value of the
critical noise parameter q_c for several values of rewiring probability p of
the directed Small-World network. The critical exponentes beta/nu, gamma/nu and
1/nu were calculated for several values of p.Comment: 16 pages including 9 figures, for Int. J. Mod. Phys.