Synergy Cycles in the Norwegian Innovation System: The Relation between Synergy and Cycle Values

31 Pages Posted: 7 Sep 2014

See all articles by Inga Ivanova

Inga Ivanova

National Research University Higher School of Economics

Øivind Strand

Norwegian University of Science and Technology (NTNU)

Loet Leydesdorff

University of Amsterdam - Amsterdam School of Communication Research (ASCoR)

Date Written: September 6, 2014

Abstract

The knowledge base of an economy measured in terms of Triple-Helix relations can be analyzed in terms of mutual information among geographical, sectorial, and size distributions of firms as dimensions of the probabilistic entropy. The resulting synergy values of a TH system provide static snapshots. In this study, we add the time dimension and analyze the synergy dynamics using the Norwegian innovation system as an example. The synergy among the three dimensions can be mapped as a set of partial time series and spectrally analyzed. The results suggest that the synergy at the level of both the country and its 19 counties shows non-chaotic oscillatory behavior and resonates in a set of natural frequencies. That is, synergy surges and drops are non-random and can be analyzed and predicted. There is a proportional dependence between the amplitudes of oscillations and synergy values and an inverse proportional dependency between the oscillation frequencies’ relative inputs and synergy values. This analysis of the data informs us that one can expect frequency-related synergy-volatility growth in relation to the synergy value and a shift in the synergy volatility towards the long-term fluctuations with the synergy growth.

Keywords: knowledge base, probabilistic entropy, triple helix, spectral analysis

Suggested Citation

Ivanova, Inga and Strand, Øivind and Leydesdorff, Loet, Synergy Cycles in the Norwegian Innovation System: The Relation between Synergy and Cycle Values (September 6, 2014). Available at SSRN: https://ssrn.com/abstract=2492456 or http://dx.doi.org/10.2139/ssrn.2492456

Inga Ivanova (Contact Author)

National Research University Higher School of Economics ( email )

20 Myasnitskaya St.
Moscow, 101000
Russia

Øivind Strand

Norwegian University of Science and Technology (NTNU) ( email )

N-6009 Ålesund
Ålesund
Norway

Loet Leydesdorff

University of Amsterdam - Amsterdam School of Communication Research (ASCoR) ( email )

PO Box 15793
Amsterdam, 1001 NG
Netherlands

HOME PAGE: http://www.leydesdorff.net

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