Visual analysis of scientific discoveries and knowledge diffusion

Chaomei Chen, Jian Zhang, Michael S. Vogeley

Research output: Contribution to conferencePaper

10 Citations (Scopus)

Abstract

We introduce a new visual analytic approach to the study of scientific discoveries and knowledge diffusion. Our approach enhances contemporary co-citation network analysis by enabling analysts to identify co-citation clusters of cited references intuitively, synthesize thematic contexts in which these clusters are cited, and trace how research focus evolves over time. The new approach integrates and streamlines a few previously isolated techniques such as spectral clustering and feature selection algorithms. The integrative procedure is expected to empower and strengthen analytical and sense making capabilities of scientists, learners, and researchers to understand the dynamics of the evolution of scientific domains in a wide range of scientific fields, science studies, and science policy evaluation and planning. We demonstrate the potential of our approach through a visual analysis of the evolution of astronomical research associated with the Sloan Digital Sky Survey (SDSS) using bibliographic data between 1994 and 2008. Implications on methodological issues are also addressed.

Original languageEnglish
Pages874-885
Number of pages12
Publication statusPublished - 2009
Event12th International Conference on Scientometrics and Informetrics, ISSI 2009 - Rio de Janeiro, Brazil
Duration: 2009 Jul 142009 Jul 17

Other

Other12th International Conference on Scientometrics and Informetrics, ISSI 2009
CountryBrazil
CityRio de Janeiro
Period09/7/1409/7/17

All Science Journal Classification (ASJC) codes

  • Information Systems

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    Chen, C., Zhang, J., & Vogeley, M. S. (2009). Visual analysis of scientific discoveries and knowledge diffusion. 874-885. Paper presented at 12th International Conference on Scientometrics and Informetrics, ISSI 2009, Rio de Janeiro, Brazil.