caa a22 4500 445348488 CHVBK 20180317142836.0 cr unu---uuuuu 170323e20110701xx s 000 0 eng 10.1007/s11192-011-0377-y doi (NATIONALLICENCE)springer-10.1007/s11192-011-0377-y Lin Fang Guangxi Normal University Library, 541004, Guilin, Guangxi, China aut A study on power-law distribution of hostnames in the URL references [Elektronische Daten] [Fang Lin] The power-law distribution and the Garfield's Law of Concentration of journal citation have long been verified by empirical data. As a relatively new type of reference, the URL references are cited more and more frequently in the scientific papers and their distribution is proved to fit for the Garfield's Law of Concentration too. In this article, we collect three URL references datasets extracted from papers written by researchers belonging to three big research groups : Chinese Academy of Sciences, Max Planck Institute, and the whole Chinese scientific researchers. Through the curve-fitting with SPSS and contrast the results with the judgment standard of power-law distribution, we verify that there also exists power-law distribution in the citation frequency of hostnames in these three URL references datasets. And our experimental results show that the range of power exponent in the journal references and the URL references are different. Started from the concrete empirical procedures and the final experimental results, we analyze four factors that may lead to this difference between journal references and URL references: the sample size, the sampling method, the concentration of citation and the type property of citation. Akadémiai Kiadó, Budapest, Hungary, 2011 URL reference nationallicence Hostname citation frequency nationallicence Power-law distribution nationallicence Citation distribution nationallicence Scientometrics Springer Netherlands 88/1(2011-07-01), 191-198 0138-9130 88:1<191 2011 88 11192 https://doi.org/10.1007/s11192-011-0377-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11192-011-0377-y text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Lin Fang Guangxi Normal University Library, 541004, Guilin, Guangxi, China aut NATIONALLICENCE 773 0- Scientometrics Springer Netherlands 88/1(2011-07-01), 191-198 0138-9130 88:1<191 2011 88 11192 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer