Issue |
Europhys. Lett.
Volume 70, Number 1, April 2005
|
|
---|---|---|
Page(s) | 70 - 76 | |
Section | General | |
DOI | https://doi.org/10.1209/epl/i2004-10467-y | |
Published online | 09 March 2005 |
Preferential attachment growth model and nonextensive statistical mechanics
1
Departamento de Física Teórica e Experimental Universidade Federal do Rio Grande do Norte Campus Universitario, 59072-970 Natal-RN, Brazil
2
Departamento de Física, Universidade Federal do Ceará 60451-970, Fortaleza-Ce, Brazil
3
Centro Brasileiro de Pesquisas Físicas - Rua Xavier Sigaud 150 22290-180 Rio de Janeiro-RJ, Brazil
4
Santa Fe Institute - 1399 Hyde Park Road, Santa Fe, NM 87501, USA
Received:
27
October
2004
Accepted:
8
February
2005
We introduce a two-dimensional growth model where every new site
is located, at a distance r from the barycenter of the
pre-existing graph, according to the probability law
, and is attached to (only) one
pre-existing site with a probability
(
; ki is the number
of links of the i-th site of the pre-existing graph, and ri
its distance to the new site). Then we numerically determine that
the probability distribution for a site to have k links is
asymptotically given, for all values of
, by
, where
is the function naturally
emerging within nonextensive statistical mechanics. The entropic
index is numerically given (at least for
not too
large) by
, and the characteristic
number of links by
. The
particular case belongs to the same universality
class to which the Barabasi-Albert model belongs. In addition to
this, we have numerically studied the rate at which the average
number of links
increases with the scaled
time
; asymptotically,
, the exponent being
close to
for
,
and zero otherwise. The present results reinforce the conjecture
that the microscopic dynamics of nonextensive systems typically
build (for instance, in Gibbs Γ-space for Hamiltonian
systems) a scale-free network.
PACS: 05.70.Ln – Nonequilibrium and irreversible thermodynamics / 89.75.Hc – Networks and genealogical trees / 89.75.-k – Complex systems
© EDP Sciences, 2005
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