This paper used data generated in a previous study to model what can be termed fast literature. In this case, the literature of superstring theory was examined to determine if an anomalous case, such as superstring literature, might fit a theoretical distribution. Price's Index was examined and found not to fit the data. The lognormal and the Weibull Distributions both appear to fit the observed distribution; however, the Weibull has better practical as well as theoretical strengths to model superstring literature. It is suggested that the literature of superstrings belongs in a separate class of literature, what we term fast literature. Additional study is indicated to determine if this type of literature is a significant factor in scientometrics.
This paper traced an individual paper through the literature as it garnered citations. This paper was chosen because of its seminal nature in a highly controversial area of theoretical physics. The distribution of citations was tested against models suggested byPrice andKuhn as well as compared to other studies which also examined benchmark papers. The results indicate that the paper chosen behaved in a significantly different way from most of the prior models. The suggestion is made that further study of this and papers like it will add much to the theory of information transfer in science.