Abstract
Information spectra are defined as intervals between equivalent information events. Their relations to negative binomial and negative polynomial distributions and urn models are explained. Basic properties of empirical information spectra from patent literature are shown and discussed in connection withHaitun's views on Z type information distributions,Sichel's GIGP model andTrofimenko's study on formation and decay of author groups.
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Kunz, M. Time spectra of patent information. Scientometrics 11, 163–173 (1987). https://doi.org/10.1007/BF02016589
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DOI: https://doi.org/10.1007/BF02016589