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

[Loet Leydesdorff]

Inga A. Ivanova, Øivind Strand, and Loet Leydesdorff, 

Synergy Cycles in the Norwegian Innovation System: The Relation between
Synergy and Cycle Values <http://ssrn.com/abstract=2492456> 

 

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.

 

Preprint available at
http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2492456 

 

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