Frequently cocited publications: Features and kinetics

AbstractCocitation measurements can reveal the extent to which a concept representing a novel combination of existing ideas evolves towards a specialty. The strength of cocitation is represented by its frequency, which accumulates over time. Of interest is whether underlying features...

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Bibliographic Details
Main Authors: Sitaram Devarakonda, James R. Bradley, Dmitriy Korobskiy, Tandy Warnow, George Chacko
Format: Article
Language:English
Published: The MIT Press 2020-01-01
Series:Quantitative Science Studies
Online Access:https://direct.mit.edu/qss/article/1/3/1223/96123/Frequently-cocited-publications-Features-and
Description
Summary:AbstractCocitation measurements can reveal the extent to which a concept representing a novel combination of existing ideas evolves towards a specialty. The strength of cocitation is represented by its frequency, which accumulates over time. Of interest is whether underlying features associated with the strength of cocitation can be identified. We use the proximal citation network for a given pair of articles (x, y) to compute θ, an a priori estimate of the probability of cocitation between x and y, prior to their first cocitation. Thus, low values for θ reflect pairs of articles for which cocitation is presumed less likely. We observe that cocitation frequencies are a composite of power-law and lognormal distributions, and that very high cocitation frequencies are more likely to be composed of pairs with low values of θ, reflecting the impact of a novel combination of ideas. Furthermore, we note that the occurrence of a direct citation between two members of a cocited pair increases with cocitation frequency. Finally, we identify cases of frequently cocited publications that accumulate cocitations after an extended period of dormancy.
ISSN:2641-3337