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TAMING VAGUENESS. THE PHILOSOPHY OF NETWORK SCIENCE

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:
CreatorsEmailORCID
Elek, Gaborg.elek@lancaster.ac.uk
Babarczy, Eszterebabarczy@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-dev.library.pitt.edu/id/eprint/20229

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