Several studies have investigated the scaling behavior in naturally occurring biological and physical processes using techniques such as detrended fluctuation analysis (DFA). Data acquisition is an inherent part of these studies and maps the continuous process into digital data. The resulting digita
Detrended fluctuation analysis of particle condensation on complex networks
β Scribed by Ming Tang; Zonghua Liu
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 692 KB
- Volume
- 387
- Category
- Article
- ISSN
- 0378-4371
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β¦ Synopsis
It has been found that the structure of complex network has significant influence on the condensation of particles and the equilibrium state of particles is dynamical. We study here the fluctuation of particles on each individual node at equilibrium status and find that the particle distributions can be normalized to the same framework of Gaussian distribution, which is independent of the nodes and network structures, while their differences are reflected by the asymmetric degree of the distribution. By the approach of detrended fluctuation analysis we reveal that the correlation exponents of particle fluctuations may reflect the information of particle condensation and be useful in exploring the network structure.
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