Scale-free download network for publications

D. D. Han; J. G. Liu; Y. G. Ma; X. Z. Cai; W. Q. Shen

doi:10.1088/0256-307X/21/9/051

Scale-free download network for publications

Disordered Systems and Neural Networks 2009-11-10 v1 Statistical Mechanics Nuclear Theory Physics and Society

Authors: D. D. Han , J. G. Liu , Y. G. Ma , X. Z. Cai , W. Q. Shen

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Abstract

The scale-free power-law behavior of the statistics of the download frequency of publications has been, for the first time, reported. The data of the download frequency of publications are taken from a well-constructed web page in the field of economic physics (http://www.unifr.ch/econophysics/). The Zipf-law analysis and the Tsallis entropy method were used to fit the download frequency. It was found that the power-law exponent of rank-ordered frequency distribution is $\gamma \sim 0.38 \pm 0.04$ which is consistent with the power-law exponent $\alpha \sim 3.37 \pm 0.45$ for the cumulated frequency distributions. Preferential attachment model of Barabasi and Albert network has been used to explain the download network.

Keywords

power-law distributions

Cite

@article{arxiv.cond-mat/0405428,
  title  = {Scale-free download network for publications},
  author = {D. D. Han and J. G. Liu and Y. G. Ma and X. Z. Cai and W. Q. Shen},
  journal= {arXiv preprint arXiv:cond-mat/0405428},
  year   = {2009}
}

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3 pages, 2 figures

Scale-free download network for publications

Abstract

Keywords

Cite

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