HAN Ding-Ding1, LIU Jin-Gao1, MA Yu-Gang2, CAI Xiang-Zhou2, SHEN Wen-Qing2
1Department of Electronic Engineering, East China Normal University, Shanghai 200062
2Shanghai Institute of Applied Physics, Chinese Academy of Sciences, PO Box 800-204, Shanghai 201800
Scale-Free Download Network for Publications
HAN Ding-Ding1;LIU Jin-Gao1;MA Yu-Gang2;CAI Xiang-Zhou2;SHEN Wen-Qing2
1Department of Electronic Engineering, East China Normal University, Shanghai 200062
2Shanghai Institute of Applied Physics, Chinese Academy of Sciences, PO Box 800-204, Shanghai 201800
Abstract： The scale-free power-law behaviour of the statistics of the download frequency of publications has been reported, for the first time to our knowledge. 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. The preferential attachment model of Barabasi and Albert network has been used to explain the download network.
2004, Vol. 21 
