Diffusion-annihilation processes in complex networks

We present a detailed analytical study of the A+A¿/0 diffusion-annihilation process in complex networks. By means of microscopic arguments, we derive a set of rate equations for the density of A particles in vertices of a given degree, valid for any generic degree distribution, and which we solve fo...

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Detalles Bibliográficos
Autores: Catanzaro, M, Boguña Espinal, Marian, Pastor Satorras, Romualdo|||0000-0002-4051-6007
Tipo de recurso: artículo
Fecha de publicación:2005
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/125858
Acceso en línea:https://hdl.handle.net/2117/125858
https://dx.doi.org/10.1103/PhysRevE.71.056104
Access Level:acceso abierto
Palabra clave:Annihilation reactions
Complex networks
Diffusion-annihilation process
Uncorrelated networks
Reaccions d'anihilació
Àrees temàtiques de la UPC::Física
Descripción
Sumario:We present a detailed analytical study of the A+A¿/0 diffusion-annihilation process in complex networks. By means of microscopic arguments, we derive a set of rate equations for the density of A particles in vertices of a given degree, valid for any generic degree distribution, and which we solve for uncorrelated networks. For homogeneous networks (with bounded fluctuations), we recover the standard mean-field solution, i.e., a particle density decreasing as the inverse of time. For heterogeneous (scale-free networks) in the infinite network size limit, we obtain instead a density decreasing as a power law, with an exponent depending on the degree distribution. We also analyze the role of finite size effects, showing that any finite scale-free network leads to the mean-field behavior, with a prefactor depending on the network size. We check our analytical predictions with extensive numerical simulations on homogeneous networks with Poisson degree distribution and scale-free networks with different degree exponents.