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Towards of Quantitative Model of Stacked Actor-Network Dynamics

Towards of Quantitative Model of Stacked Actor-Network Dynamics

Peter Kopanov, Ivan Tchalakov
Copyright: © 2017 |Volume: 9 |Issue: 2 |Pages: 21
ISSN: 1942-535X|EISSN: 1942-5368|EISBN13: 9781522512448|DOI: 10.4018/IJANTTI.2017040103
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MLA

Kopanov, Peter, and Ivan Tchalakov. "Towards of Quantitative Model of Stacked Actor-Network Dynamics." IJANTTI vol.9, no.2 2017: pp.42-62. http://doi.org/10.4018/IJANTTI.2017040103

APA

Kopanov, P. & Tchalakov, I. (2017). Towards of Quantitative Model of Stacked Actor-Network Dynamics. International Journal of Actor-Network Theory and Technological Innovation (IJANTTI), 9(2), 42-62. http://doi.org/10.4018/IJANTTI.2017040103

Chicago

Kopanov, Peter, and Ivan Tchalakov. "Towards of Quantitative Model of Stacked Actor-Network Dynamics," International Journal of Actor-Network Theory and Technological Innovation (IJANTTI) 9, no.2: 42-62. http://doi.org/10.4018/IJANTTI.2017040103

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Abstract

This article further develops the stacked actor-networks (SAN) approach in modelling socio-economic and cultural dynamics. Following the Lee and Schiesser application of differential equation analysis in biological and social sciences, the authors used a basic SAN model. This model is composed of three subnetworks where each two subnetworks dominate over the third one to build a quantitative description that identifies three stable states in the dynamics of their interactions – cyclical development, linear, and exponential growth. Describing the latter, the notion of ‘technology growth' is introduced that bears on the pattern of hyper-fast growth.

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