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Redundancy Generation in University-Industry-Government Relations:
The Triple Helix Modeled, Measured, and Simulated


A Triple Helix (TH) of bi- and trilateral relations among universities,
industries, and governments can be considered as an ecosystem in which
uncertainty can be reduced auto-catalytically. The correlations among the
distributions of relations span a vector space in which two vectors (P and
Q) represent "sending" and "receiving," respectively. These vectors can also
be understood in terms of the generation versus reduction of uncertainty in
the communication field that results from interactions among the three
(bi-lateral) communication channels. We specify a set of Lotka-Volterra
equations between the vectors that can be solved. Redundancy generation can
then be simulated and the results can be decomposed in terms of the TH
components. Among other things, we show that the strength and frequency of
the relations are independent parameters. Different components in terms of
frequencies in triple-helix systems can also be distinguished and
interpreted using Fourier analysis of the empirical time-series. The case of
co-authorship relations in Japan is analyzed as an empirical example; but
"triple contingencies" in an ecosystem of relations can also be considered
more generally as a model for redundancy generation by providing meaning to
the (Shannon-type) information in inter-human communications. 


Inga Ivanova (a) and Loet Leydesdorff (b)


(a) Far Eastern Federal University, Department of International Education &
Department of Economics and production management, Office 514, 56 Aleutskaya
st., Vladivostok 690950, Russia; [log in to unmask] .


(b) University of Amsterdam, Amsterdam School of Communications Research

Kloveniersburgwal 48, 1012 CX Amsterdam, the Netherlands;
<mailto:[log in to unmask]> [log in to unmask] 


** apologies for cross-postings 


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