Conference proceeding
Mapping scientific disciplines and author expertise based on personal bibliography files
INFORMATION VISUALIZATION-BOOK
01 Jan 2006
Abstract
This paper presents a novel approach (1) to define, analyze, and map a scientific discipline and (2) to compare and map the expertise of single authors based on personal bibliography files, e.g., bibtex or EndNote files. Section one motivates this research and relates it to existing work. Section two explains the general procedure from data harvesting, parsing, cleaning via the analysis and mapping of the data to the interpretation of results. To illustrate the new approach, we asked major experts on 'network science' to share their bibtex or EndNote files with us. Using this data set we exemplify data harvesting, data cleaning and integration; give simple statistics, analysis and visualization results such as a map of the network science discipline based on co-author networks and a map of the content coverage and overlay of contributing experts. We conclude with a discussion of challenges and opportunities as well as planned future work.
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Details
- Title
- Mapping scientific disciplines and author expertise based on personal bibliography files
- Creators
- Colin Murray - The University of SydneyWeimao Ke - Indiana University BloomingtonKaty Borner - Indiana University
- Contributors
- E Banissi (Editor)R A Burkhard (Editor)A Ursyn (Editor)J J Zhang (Editor)MWM Bannatyne (Editor)C Maple (Editor)A J Cowell (Editor)G Y Tianm (Editor)M Hou (Editor)
- Publication Details
- INFORMATION VISUALIZATION-BOOK
- Publisher
- IEEE
- Number of pages
- 2
- Grant note
- IIS-0513650; CHE-0524661 / National Science Foundation; National Science Foundation (NSF) IIS-0238261 / CAREER; National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000239814800037
- Scopus ID
- 2-s2.0-35448987201
- Other Identifier
- 991020546595604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Software Engineering