Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/867
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dc.contributor.authorTabah, A.N.-
dc.contributor.authorSaber, Aaron Jaan-
dc.date.accessioned2005-06-29T06:57:16Z-
dc.date.available2005-06-29T06:57:16Z-
dc.date.issued1990-
dc.identifier.citationEgghe, L. & Rousseau, R. (Ed.) Informetrics 89/90, Belgium : Diepenbeek, p. 281-289-
dc.identifier.issn0-444-88460-2-
dc.identifier.urihttp://hdl.handle.net/1942/867-
dc.description.abstractA sample space of the number of publications in polymer chemistry over a five year period has been subjected to time series data analysis. The technique uses autocorrelation and a subsequent FFT (fast Fourier transform). The analysis shows that the sample space is small but the data appears to have chaotic behaviour. Recomnendations for future work and applications are identified.-
dc.format.extent197995 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherElsevier-
dc.titleChaotic structures in informetrics-
dc.typeProceedings Paper-
local.type.specifiedProceedings Paper-
dc.bibliographicCitation.oldjcat-
item.fulltextWith Fulltext-
item.contributorTabah, A.N.-
item.contributorSaber, Aaron Jaan-
item.fullcitationTabah, A.N. & Saber, Aaron Jaan (1990) Chaotic structures in informetrics. In: Egghe, L. & Rousseau, R. (Ed.) Informetrics 89/90, Belgium : Diepenbeek, p. 281-289.-
item.accessRightsClosed Access-
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