Scale-free download network for publications
D. D. Han, J. G. Liu, Y. G. Ma, X. Z. Cai, W. Q. Shen
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 γ 0.38 0.04 which is consistent with the power-law exponent α 3.37 0.45 for the cumulated frequency distributions. Preferential attachment model of Barabasi and Albert network has been used to explain the download network.
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