# Traffic of particles in complex networks

Research output: Contribution to journalArticle

32 Citations (Scopus)

### Abstract

The study of the information flow through communication networks, such as the Internet, is of great importance. In the Internet, information flows in discrete units ("packets"), and the capacity of storage and processing of information of computers is finite. Thus if there are many packets walking on the network at the same time, they will interfere with each other. To understand this, we propose an idealized model, in which many particles move randomly on the network, and the nodes support limited numbers of particles. The maximum number of packets supported by a node can be any positive integer, and can be different for each node. We analyze the statistical properties of this model, obtaining analytical expressions for the mean occupation of each node, for different network topologies. The analytical results are shown to be in agreement with numerical simulations.

Original language English 036117 Physical Review. E, Statistical, Nonlinear and Soft Matter Physics 74 3 Part 2 Published - Sep 2006

### Fingerprint

Complex Networks
traffic
information flow
Traffic
Information Flow
Vertex of a graph
walking
communication networks
occupation
integers
topology
Communication Networks
Network Topology
Statistical property
Analytical Model
Numerical Simulation
Unit
Integer
simulation
Model

### Cite this

In: Physical Review. E, Statistical, Nonlinear and Soft Matter Physics, Vol. 74, No. 3 Part 2, 036117, 09.2006.

Research output: Contribution to journalArticle

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