Scientometrics and semantic maps for development (Author: Iina Hellsten)
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The document discusses the use of scientometrics and semantic maps to analyze knowledge management and development. It outlines methods such as citation and co-authorship analysis to understand dynamics in academic publications, as well as semantic mapping to track communication across various discourses. The expected outcomes include presentations and articles focusing on knowledge democracy and the implications of the research methods employed.
Scientometrics and semantic maps for development (Author: Iina Hellsten)
- 1. Scientometrics & Semantic Maps for Development? Sarah Cummings (IKM) & Iina Hellsten (VU/Athena)
- 2. Context • How to map differences in the codification of knowledge management and/ or development? • Methods from scientometrics and bibliometrics, incl. citation, co-authorships and semantic map analysis • Project with Sarah Cummings
- 3. Introduction • What is scientometrics? • “science of science” since 1978 • uses bibliometrics to map publication behavior • origin in study of scientific publications • main applications: citation & co-authorship analysis • What are semantic maps? * multiple in the text analysis * can be applied beyond science * mapping implicit frames across actors / discourses (e.g. sciences, the mass media, policy documents…)
- 4. Citation analysis Idea: * scientific publications (with bibliographies) * author / article level: A. who cites whom B. which authors get most citations * journal level: which journals cite each others articles * citations across domains (Triple helix: patents – publications) Aim * view into discipline & specialty formation * A. changes over time & B. comparisons between disciplines, journals etc. * impact of the publications Limitations: * restricted to publications with list of references
- 5. Example of citation analysis: Development journals in 2007 Main journals (in Web of Science): 1) World Development 2) Development and Change 3) Journal of Development Studies Source: Loet Citation impact environment of World Development in 2007. Leydesdorff (1% threshold; cosine > 0.2)
- 6. Co-authorship analysis Idea: • Co-authorship networks, global and local; national and international • Who publishes with whom (disciplinary differences & development over time) • Co-authorships between university-industry-government (Triple Helix) Aim: • General view on dynamics of collaborations; inter- and transdisciplinary Limitations: * restricted to publications with list of references
- 7. Example of co-authorship analysis: Dutch authors in Development and Change Co-authorships of Dutch authors publishing in Development and Change, the core 30 co- authorships, 2005-2008
- 8. Semantic maps • Idea • Automated analysis of communications (texts) • Different levels of codification (e.g. science / mass media / policy / practice) • Aims * development of a debate over time (e.g. stem-cell research) * differences across discourses within one debate (such as the mass media vs. sciences vs. economics vs. policy-making) * differences in debates on the same topic across countries (U.S. vs. Europe vs. Asia / UK vs. Netherlands…) * …and would be able to detect emerging sub-debates (within stem-cell debate across the discourses and the countries)?
- 9. Comparing semantics? Leydesdorff & Hellsten, 2005, p.66
- 10. Example of semantic maps: “Millennium Development Goals” in Dutch newspapers “Millennium Development Goals in Dutch newspapers, 2005-2008 (69 news items)
- 11. Next steps • Semantic maps on scientific, journalistic, policy and practice documents (MDG debate) • Different topics of debate • Different level of codification • Citation and co-authorship analysis on industry-government-academia relations
- 12. Expected outcomes • Conference presentation: Towards Knowledge Democracy –conference (Leiden, 25-27 August, 2009) • Article(s)… • Discussion on new methodological avenues and their limitations
- 13. Thank you! Questions? • More information (methods): – www.leydesdorff.net On semantic maps: – Leydesdorff Loet & Hellsten Iina (2006) ”Measuring the meanings of words in contexts: automated analysis of ‘Monarch butterflies’, ‘Frankenfoods’ and ‘stem cells’”, Scientometrics 67(2): 231-258. http://www.springerlink.com/content/c62j88v730283u6g/?p=23707c3755064670899a072308837605&pi=5 – Leydesdorff Loet & Hellsten Iina (2005) ”Metaphors and Diaphors in Science Communication: Mapping the Case of Stem-Cell Research”, Science Communication 27(1): 64-99. http://scx.sagepub.com/cgi/reprint/27/1/64