activity
20122023
most citedEconomic and Technological Complexity: A Model Study of Indicators of Knowledge-based Innovation Systems

79 citations · 170 across the 10 of their papers we have counts for

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Showing cs.CYShow all

8 papers · 1 filter

cs.CY2023

communication of information in systems of heterogenious agents and systems' dynamics

Inga Ivanova

Communication of information in complex systems can be considered as major driver of systems evolution. What matters is not the communicated information by itself but rather the me…

cs.CY2021

Information exchange, meaning and redundancy generation in anticipatory systems: self-organization of expectations -- the case of Covid-19

Inga A. Ivanova

When studying the evolution of complex systems one refers to model representations comprising various descriptive parameters. There is hardly research where system evolution is des…

cs.CY2016

"Open Innovation" and "Triple Helix" Models of Innovation: Can Synergy in Innovation Systems Be Measured?

Loet Leydesdorff, Inga Ivanova

The model of "Open Innovations" (OI) can be compared with the "Triple Helix of University-Industry-Government Relations" (TH) as attempts to find surplus value in bringing industri…

cs.CY2016★ 16 cited

What is the effect of synergy in international collaboration on regional economies?

Inga Ivanova, Oivind Strand, Loet Leydesdorff

We analyze the effects of relative increments of mutual information among the geographical, technological, and organizational distributions of firms on the relative augmentation of…

cs.CY2015★ 48 cited

Knowledge-generating Efficiency in Innovation Systems: The relation between structural and temporal effects

Inga Ivanova, Loet Leydesdorff

Using time series of US patents per million inhabitants, knowledge-generating cycles can be distinguished. These cycles partly coincide with Kondratieff long waves. The changes in…

cs.CY2014

Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values

Inga Ivanova, Oivind Strand, Loet Leydesdorff

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…

cs.CY2013★ 20 cited

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

Inga Ivanova, Loet Leydesdorff

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-catal…

cs.CY2012

Rotational Symmetry and the Transformation of Innovation Systems in a Triple Helix of University-Industry-Government Relations

Inga A. Ivanova, Loet Leydesdorff

Using a mathematical model, we show that a Triple Helix (TH) system contains self-interaction, and therefore self-organization of innovations can be expected in waves, whereas a Do…