Elek, Gabor and Babarczy, Eszter (2022) TAMING VAGUENESS. THE PHILOSOPHY OF NETWORK SCIENCE. [Preprint]

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Abstract

In the last twenty years network science has become an independent scientific field.
We argue that by building network models network scientists are able to tame the vague-
ness of propositions about complex systems and networks, that is, to make these propositions
precise. This makes it possible to study important vague properties such as modularity, near-
decomposability, scale-freeness or being a small world. Using an epistemic model of network
science, we systematically analyse the specific nature of network models and the logic behind
the taming mechanism.

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Item Type:	Preprint
Creators:	Creators Email ORCID Elek, Gabor g.elek@lancaster.ac.uk Babarczy, Eszter ebabarczy@mome.hu
Keywords:	Network science, vagueness, representation, complexity, modularity
Subjects:	General Issues > Models and Idealization
Depositing User:	Gabor Elek
Date Deposited:	19 Feb 2022 00:34
Last Modified:	19 Feb 2022 00:34
Item ID:	20229
Subjects:	General Issues > Models and Idealization
Date:	16 February 2022
URI:	https://philsci-archive.pitt.edu/id/eprint/20229

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