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Efficiency, unused capacity and transmission power as indicators of the Triple Helix of university–industry–government relationships

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  • Mêgnigbêto, Eustache

Abstract

In this paper, we show that an information source composed with n random variables may be split into 2n or 2n−1 “states”; therefore, one could compute the maximum entropy of the source. We derive the efficiency and the unused capacity of an information source. We demonstrate that in more than two dimensions, the transmission's variability depends on the system configuration; thus, we determine the upper and the lower bounds to the mutual information and propose the transmission power as an indicator of the Triple Helix of university–industry–government relationships. The transmission power is defined as the fraction of the total ‘configurational information’ produced in a system; it appears like the efficiency of the transmission and may be interpreted as the strength of the variables dependency, the strength of the synergy between the system's variable or the strength of information flow within the system.

Suggested Citation

  • Mêgnigbêto, Eustache, 2014. "Efficiency, unused capacity and transmission power as indicators of the Triple Helix of university–industry–government relationships," Journal of Informetrics, Elsevier, vol. 8(1), pages 284-294.
    • Handle: RePEc:eee:infome:v:8:y:2014:i:1:p:284-294
    DOI: 10.1016/j.joi.2013.12.009
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    References listed on IDEAS

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    1. Gohar Feroz Khan & Han Woo Park, 2011. "Measuring the triple helix on the web: Longitudinal trends in the university‐industry‐government relationship in Korea," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(12), pages 2443-2455, December.
    2. Reinaldo B. Arellano-Valle & Javier E. Contreras-Reyes & Marc G. Genton, 2013. "Shannon Entropy and Mutual Information for Multivariate Skew-Elliptical Distributions," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 40(1), pages 42-62, March.
    3. Fred Y. Ye & Susan S. Yu & Loet Leydesdorff, 2013. "The Triple Helix of university‐industry‐government relations at the country level and its dynamic evolution under the pressures of globalization," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(11), pages 2317-2325, November.
    4. Loet Leydesdorff, 2003. "The mutual information of university-industry-government relations: An indicator of the Triple Helix dynamics," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 445-467, October.
    5. Gohar Feroz Khan & Han Woo Park, 2011. "Measuring the triple helix on the web: Longitudinal trends in the university-industry-government relationship in Korea," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(12), pages 2443-2455, December.
    6. Mueller, Pamela, 2006. "Exploring the knowledge filter: How entrepreneurship and university-industry relationships drive economic growth," Research Policy, Elsevier, vol. 35(10), pages 1499-1508, December.
    7. Loet Leydesdorff & Yuan Sun, 2009. "National and international dimensions of the Triple Helix in Japan: University–industry–government versus international coauthorship relations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(4), pages 778-788, April.
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