Towards the development of an indicator of conformity

Richard Klavans, Kevin W. Boyack, Aaron A. Sorensen, Chaomei Chen

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

1 Citation (Scopus)

Abstract

An indicator of conformity - the tendency for a scientific paper to reinforce existing belief systems - is introduced. This indicator is based on a computational theory of innovation, where an author's belief systems are compared to socio-cognitive norms. Evidence of the validity of the indicator is provided using a sample of 4180 high impact papers in two experiments. The first experiment is based on a 10 year model of the scientific literature. The robustness of the first experiment is tested using an alternative method for calculating the indicator and two 16-year models of the scientific literature.

Original languageEnglish
Title of host publicationProceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference
Pages1726-1737
Number of pages12
Publication statusPublished - 2013 Dec 1
Event14th International Society of Scientometrics and Informetrics Conference, ISSI 2013 - Vienna, Austria
Duration: 2013 Jul 152013 Jul 20

Publication series

NameProceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference
Volume2

Other

Other14th International Society of Scientometrics and Informetrics Conference, ISSI 2013
CountryAustria
CityVienna
Period13/7/1513/7/20

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Management Science and Operations Research
  • Applied Mathematics
  • Modelling and Simulation
  • Statistics and Probability

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  • Cite this

    Klavans, R., Boyack, K. W., Sorensen, A. A., & Chen, C. (2013). Towards the development of an indicator of conformity. In Proceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference (pp. 1726-1737). (Proceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference; Vol. 2).