English

Diffusive Capture Process on Complex Networks

Disordered Systems and Neural Networks 2009-11-11 v1 Statistical Mechanics

Abstract

We study the dynamical properties of a diffusing lamb captured by a diffusing lion on the complex networks with various sizes of NN. We find that the life time <T>ofalambscalesas<T>N of a lamb scales as <T>\sim N and the survival probability S(N,t)S(N\to \infty,t) becomes finite on scale-free networks with degree exponent γ>3\gamma>3. However, S(N,t)S(N,t) for γ<3\gamma<3 has a long-living tail on tree-structured scale-free networks and decays exponentially on looped scale-free networks. It suggests that the second moment of degree distribution <k^2>istherelevantfactorforthedynamicalpropertiesindiffusivecaptureprocess.Wenumericallyfindthatthenormalizednumberofcaptureeventsatanodewithdegree is the relevant factor for the dynamical properties in diffusive capture process. We numerically find that the normalized number of capture events at a node with degree k,, n(k),decreasesas, decreases as n(k)\sim k^{-\sigma}.When. When \gamma<3,, n(k)stillincreasesanomalouslyfor still increases anomalously for k\approx k_{max}.Weanalyticallyshowthat. We analytically show that n(k)satisfiestherelation satisfies the relation n(k)\sim k^2P(k)andthetotalnumberofcaptureevents and the total number of capture events N_{tot}isproportionalto<k2> is proportional to <k^2>, which causes the γ\gamma dependent behavior of S(N,t)S(N,t) and <T>$.

Keywords

Cite

@article{arxiv.cond-mat/0603647,
  title  = {Diffusive Capture Process on Complex Networks},
  author = {Sungmin Lee and Soon-Hyung Yook and Yup Kim},
  journal= {arXiv preprint arXiv:cond-mat/0603647},
  year   = {2009}
}

Comments

9 pages, 6 figures