Redefiners of discipline borders: A Bayesian detection method for conceptual changes in scientific knowledge

Ryo Onozuka, Tomohito Yamazaki, Jiro Kokuryo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Novelty of a scientific paper cannot be evaluated simply by the number of citations it receives. It should be judged, at least in part, by the extent to which it redefines the borders of disciplines. This study proposes a technique to provide some quantitative insight into how concepts presented by a paper generate changes in academic disciplines. The study uses a naïve Bayes classifier to package the developmental processes of knowledge according to the processes of assimilation and accommodation as put forward in Piaget's theory of equilibration and goes on to put to the test this technique in studies of vision in cognitive psychology. Our analysis identifies three types of boundary redefiners, i.e., boundary constructor, boundary spanner and boundary reconstructor which, in association, are seen to strengthen the uniqueness of a given discipline, bridge different disciplines and bring about the emergence of new fields.

Original languageEnglish
Title of host publication2016 International Conference on Information Systems, ICIS 2016
PublisherAssociation for Information Systems
ISBN (Electronic)9780996683135
Publication statusPublished - 2016
Event2016 International Conference on Information Systems, ICIS 2016 - Dublin, Ireland
Duration: 2016 Dec 112016 Dec 14

Other

Other2016 International Conference on Information Systems, ICIS 2016
CountryIreland
CityDublin
Period16/12/1116/12/14

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Classifiers

Keywords

  • Algorithms
  • Intellectual base
  • Knowledge management
  • Machine learning
  • Research front

ASJC Scopus subject areas

  • Information Systems

Cite this

Onozuka, R., Yamazaki, T., & Kokuryo, J. (2016). Redefiners of discipline borders: A Bayesian detection method for conceptual changes in scientific knowledge. In 2016 International Conference on Information Systems, ICIS 2016 Association for Information Systems.

Redefiners of discipline borders : A Bayesian detection method for conceptual changes in scientific knowledge. / Onozuka, Ryo; Yamazaki, Tomohito; Kokuryo, Jiro.

2016 International Conference on Information Systems, ICIS 2016. Association for Information Systems, 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Onozuka, R, Yamazaki, T & Kokuryo, J 2016, Redefiners of discipline borders: A Bayesian detection method for conceptual changes in scientific knowledge. in 2016 International Conference on Information Systems, ICIS 2016. Association for Information Systems, 2016 International Conference on Information Systems, ICIS 2016, Dublin, Ireland, 16/12/11.
Onozuka R, Yamazaki T, Kokuryo J. Redefiners of discipline borders: A Bayesian detection method for conceptual changes in scientific knowledge. In 2016 International Conference on Information Systems, ICIS 2016. Association for Information Systems. 2016
Onozuka, Ryo ; Yamazaki, Tomohito ; Kokuryo, Jiro. / Redefiners of discipline borders : A Bayesian detection method for conceptual changes in scientific knowledge. 2016 International Conference on Information Systems, ICIS 2016. Association for Information Systems, 2016.
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