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Monitoring elasticity between science and technology domains and its visualization

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Abstract

We introduce a new technique for quantifying and monitoring the effect a given set of time series has on the evolution of a single time series. The technique relies on the causal nature of this effect, and expresses the result in terms of partial and cross elasticities. As an application, we consider the case where the single time series consists of the number of patents filed over time, in a given category, and where the set of time series consists of the numbers of scientific articles published over time, for each one of a number of science domains. Finally, we use a quiver map for visualizing the elasticities and as a case study we illustrate our methodology on patents in the field of Biotechnology.

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References

  1. CARPENTER, M. P., NARIN, F., Validation study: Patent citations as indicators of science and foreign dependence, World Patent Information, 5 (1983) 180-185.

    Google Scholar 

  2. DELEUS, F., VAN HULLE, M. M., Science and technology interactions discovered with a new topographic map-based visualization tool, Proceedings of the Visual Data Mining Workshop held on the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2001), San Francisco, USA, 2001, pp. 42-50.

  3. GRUPP, H., SCHMOCH, U., Perception of scientification of innovation as measured by referencing between patents and papers, In: GRUPP, H. (Ed.), Dynamics of Science-Based Innovations, Springer Publishers, Berlin/Heidelberg, 1992, pp. 73-128.

    Google Scholar 

  4. MEYER, M., Patents citing scientific literature: is the relationship causal or casual?, Institute for Prospective Technological Studies Reports, 28 (1998) 11-18.

    Google Scholar 

  5. NARIN, F., NOMA, E., Is technology becoming science?, Scientometrics, 7 (3-6) (1985) 369-381.

    Google Scholar 

  6. NARIN, F., HAMILTON, K. S., OLIVASTRO, D., The increasing linkage between U.S. technology and public science, Research Policy, 26 (3) (1997) 317-330.

    Google Scholar 

  7. SCHMOCH, U., Indicators and relations between science and technology, Scientometrics, 38 (1) (1997) 103-116.

    Google Scholar 

  8. VERBEEK, A., DEBACKERE, K., LUWEL, M., VAN LOOY, B., ANDRIES, P., VAN HULLE, M., DELEUS, F., Linking science to technology using bibliographic references in patents to build linkage schemes, Proceedings of the 8th International Conference on Scientometrics & Informetrics, Sydney, Australia, 2001, pp. 717-732

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Authors and Affiliations

  1. Laboratory of Neuro- and Psychophysiology, Katholieke Universiteit, Leuven Campus Gasthuisberg, B-3000, Herestraat 49, Leuven, Belgium

    Filip Deleus

  2. Leuven University Hospital Benjamin Franklin Laboratory of Neuro- and Psychophysiology, Katholieke Universiteit, Leuven, Belgium

    Marc M. Van Hulle

Authors
  1. Filip Deleus
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  2. Marc M. Van Hulle
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Deleus, F., Van Hulle, M.M. Monitoring elasticity between science and technology domains and its visualization. Scientometrics 56, 147–160 (2003). https://doi.org/10.1023/A:1021958909713

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