Zipf's law and the diversity of biology newsgroups
dc.contributor.author | Silverman, Emily D. | en_US |
dc.contributor.author | Berg, Celeste A. | en_US |
dc.contributor.author | Kot, Mark | en_US |
dc.date.accessioned | 2006-09-08T21:41:38Z | |
dc.date.available | 2006-09-08T21:41:38Z | |
dc.date.issued | 2003-01 | en_US |
dc.identifier.citation | Kot, Mark; Silverman, Emily; Berg, Celeste A.; (2003). "Zipf's law and the diversity of biology newsgroups." Scientometrics 56(2): 247-257. <http://hdl.handle.net/2027.42/43673> | en_US |
dc.identifier.issn | 1588-2861 | en_US |
dc.identifier.issn | 0138-9130 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/43673 | |
dc.description.abstract | Usenet newsgroups provide a popular means of scientific communication. We demonstrate striking order in the diversity of biology newsgroups: Submissions to newsgroups obey a form of Zipf's law, a simple power law for the frequency of posts as a function of the rank, by posting, of contributors. We show that a simple stochastic process, due to Günther et al. (1992, 1996), Levitin and Schapiro (1993), and Schapiro (1994), accounts for this pattern and reproduces many of the properties of newsgroups. This model successfully predicts the relative contribution from each poster in terms of the size, the number of posters and total posts, of the newsgroup. | en_US |
dc.format.extent | 194929 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Kluwer Academic Publishers/Akadémiai Kiadó ; Springer Science+Business Media | en_US |
dc.subject.other | Computer Science | en_US |
dc.subject.other | Interdisciplinary Studies | en_US |
dc.subject.other | Library Science | en_US |
dc.subject.other | Information Storage and Retrieval | en_US |
dc.title | Zipf's law and the diversity of biology newsgroups | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Science (General) | en_US |
dc.subject.hlbsecondlevel | Ecology and Evolutionary Biology | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | School of Natural Resources and Environment, University of Michigan, Ann Arbor, MI, USA | en_US |
dc.contributor.affiliationother | Department of Applied Mathematics, University of Washington, Box 352420, Seattle, WA, 98195-2420, USA | en_US |
dc.contributor.affiliationother | Department of Genome Sciences, University of Washington, Seattle, WA, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/43673/1/11192_2004_Article_5116106.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1023/A:1021971212438 | en_US |
dc.identifier.source | Scientometrics | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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