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Graph-Theoretic Models for the Holistic Analysis of Actor-Networks with Emergent Properties
Author(s) -
Alexey Tselykh,
Boris Denisov
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/790/1/012048
Subject(s) - sociotechnical system , computer science , rotation formalisms in three dimensions , theoretical computer science , graph theory , network science , graph , set (abstract data type) , data science , management science , artificial intelligence , complex network , mathematics , engineering , geometry , world wide web , programming language , combinatorics
This paper presents the results of a research in modeling a concept of a black box and a mechanism of translation in sociotechnical actor-networks with emergent properties based on the extended and powerful formalisms of hypergraphs, directed hypergraphs, hypernetworks, metagraphs, and nested metagraphs. We introduce graph-theoretical models that allow for systemic studies and holistic analysis of actor-networks using rich mathematical apparatus of a set theory. The main object of the research are actor-networks in Science and Technology Studies. We hope that our contribution to the arsenal of graphical presentation tools and rigorous mathematical models for actor-network analysis will encourage the transition from qualitative to quantitative studies and the wider practical application of actor-network theory.

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