Towards of Quantitative Model of Stacked Actor-Network Dynamics

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Author(s): Peter Kopanov (Faculty of Mathematics and Informatics, University of Plovdiv, Plovdiv, Bulgaria)and Ivan Tchalakov (Faculty of Philosophy and History, University of Plovdiv, Plovdiv, Bulgaria)
Copyright: 2017
Volume: 9
Issue: 2
Pages: 21
Source title: International Journal of Actor-Network Theory and Technological Innovation (IJANTTI)
DOI: 10.4018/IJANTTI.2017040103

Keywords: Cybernetics / Human Aspects of Technology / Information Science Reference / Media & Communications

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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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Towards of Quantitative Model of Stacked Actor-Network Dynamics

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