Memorias de investigación
Research Publications in journals:
Local affinity in heterogeneous growing networks
Year:2009

Research Areas
  • Mathematics,
  • Electronic

Information
Abstract
In this paper we present a study of the influence of local affinity in heterogeneous preferential attachment (PA) networks. Heterogeneous PA models are a generalization of the BarabásiAlbert model to heterogeneous networks, where the affinity between nodes biases the attachment probability of links. Threshold models are a class of heterogeneous PA models where the affinity between nodes is inversely related to the distance between their states. We propose a generalization of threshold models where network nodes have individual affinity functions, which are then combined to yield the affinity of each potential interaction. We analyze the influence of the affinity functions in the topological properties averaged over a network ensemble. The network topology is evaluated through the distributions of connectivity degrees, clustering coefficients and geodesic distances.We show that the relaxation of the criterion of a single global affinity still leads to a reasonable power-law scaling in the connectivity and clustering distributions under a wide spectrum of assumptions. We also show that the richer behavior of the model often exhibits a better agreement with the empirical observations on real networks.
International
Si
JCR
Si
Title
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
ISBN
0378-4371
Impact factor JCR
1,441
Impact info
Volume
388
10.1016/j.physa.2009.03.039
Journal number
14
From page
2941
To page
2948
Month
JULIO
Ranking
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Complejos
  • Departamento: Física y Mecánica Fundamentales y Aplicada a la Ingeniería Agroforestal