  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.
