Conference proceeding
Visual Analysis of Scientific Discoveries and Knowledge Diffusion
PROCEEDINGS OF ISSI 2009 - 12TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL SOCIETY FOR SCIENTOMETRICS AND INFORMETRICS, VOL 2, Vol.2, pp.874-885
01 Jan 2009
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.
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Details
- Title
- Visual Analysis of Scientific Discoveries and Knowledge Diffusion
- Creators
- Chaomei Chen - Drexel UniversityJian Zhang - Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USAMichael S. Vogeley - Drexel University
- Contributors
- B Larsen (Editor)J Leta (Editor)
- Publication Details
- PROCEEDINGS OF ISSI 2009 - 12TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL SOCIETY FOR SCIENTOMETRICS AND INFORMETRICS, VOL 2, Vol.2, pp.874-885
- Conference
- ISSI 2009 - 12TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL SOCIETY FOR SCIENTOMETRICS AND INFORMETRICS, 12th
- Series
- Proceedings of the International Conference on Scientometrics and Informetrics
- Publisher
- Int Soc Scientometrics & Informetrics-Issi
- Number of pages
- 12
- Grant note
- 0612129 / National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics); Physics
- Identifiers
- 991019170449204721
InCites Highlights
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- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications