Scale-Free Statistics of Bulletin-Board-System Server Visiting

Wen Nai Wang, Jaiyong Lee, Zheng Kun Mi

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

The scale-free power-law-like signature of statistics of electronic-bulletin-board-system (BBS) server visiting is reported. The Tsallis entropy approach was employed to Rt data sets acquired from servers sited at three Chinese universities. It was found that the exponent of power-law-like probability distribution function, as well as the factor similar to the Lagrange multiplier introduced by the maximum entropy principle, probably depends on the number of discussion forums in BBS servers, while the mathematic expectation does not. It was concluded that statistics of BBS visiting is a good realistic candidate for complex network studies.

Original languageEnglish
Pages (from-to)243-245
Number of pages3
JournalChinese Physics Letters
Volume21
Issue number2
DOIs
Publication statusPublished - 2004 Feb

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Fingerprint Dive into the research topics of 'Scale-Free Statistics of Bulletin-Board-System Server Visiting'. Together they form a unique fingerprint.

Cite this