Bottom-up scientific field detection for dynamical and hierarchical science mapping, methodology and case study
We propose new methods to detect paradigmatic fields through simple statistics over a scientific content database. We propose an asymmetric paradigmatic proximity metric between terms which provide insight into hierarchical structure of scientific activity and test our methods on a case study with a database made of several millions of resources. We also propose overlapping categorization to describe paradigmatic fields as sets of terms that may have several different usages. Terms can also be dynamically clustered providing a high-level description of the evolution of the paradigmatic fields.
KeywordsPublic Good Game Theory Experimental Economic Ultimatum Game Close Term
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- Buter, R., Noyons, E. (2002), Using bibliometric maps to visualise term distribution in scientific papers, In: Sixth International Conference on Information Visualisation (IV’02), pp. 697–702.Google Scholar
- Chavalarias, D., Cointet, J. (2007), Science mapping with asymmetric co-occurrence analysis: Methodology and case study, In: Proceedings of the European Conference on Complex Systems, Dresden, 1–5 oct. 2007.Google Scholar
- Kuhn, T. S. (1970), The Structure of Scientific Revolutions, UCP, Chicago, second edition.Google Scholar
- Latour, B. (2005), Reassembling the Social: An Introduction to Actor-network-theory (Clarendon Lectures in Management Studies), Oxford University Press.Google Scholar
- Lin, X., Soergel, D. (1991), A self organizing semantic map for information retrieval, Proc. 14th International SIGIR Conference, 262–269.Google Scholar
- Marshakova-Shaikevich, I. (2005), Bibliometric maps of field of science, Infometrics, 41(6): 1534–1547.Google Scholar
- Noyons, E., Van Raan, A. (2002), Dealing with the Data Flood. Mining Data, Text and Multimedia, J. Meij (Ed.), The Hague: STT/Beweton, pp. 64–72.Google Scholar
- Turner, W. A., Chartron, G., Laville, F., Michelet, B. (1988), Packaging information for peer review: new co-word analysis techniques, In: VanRaan, A. F. J. (Ed.), Handbook of Quantitative Studies of Science and Technology. Netherlands: Elsevier Science Publishers.Google Scholar