Elek, Gábor and Babarczy, Eszter (2022) Taming vagueness: the philosophy of network science. SYNTHESE, 200 (2). ISSN 0039-7857
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Official URL: https://doi.org/10.1007/s11229-022-03622-0
Abstract
In the last 20 years network science has become an independent scientific field. We argue that by building network models network scientists are able to tame the vagueness 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.
| Item Type: | Article |
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| Additional Information: | Lancaster University, United Kingdom The Alfred Renyi Institute, Budapest, Hungary Moholy-Nagy University of Art and Design, Budapest, Hungary Export Date: 10 February 2023 Correspondence Address: Elek, G.; The Alfred Renyi InstituteHungary; email: g.elek@lancaster.ac.uk Funding text 1: We are grateful for the helpful comments of the two anonymous referees. |
| Uncontrolled Keywords: | Network science · Vagueness · Representation · Complexity · Modularity |
| Subjects: | B Philosophy. Psychology. Religion / filozófia, pszichológia, vallás > B1 Philosophy (General) / filozófia általában H Social Sciences / társadalomtudományok > H Social Sciences (General) / társadalomtudomány általában |
| SWORD Depositor: | MTMT SWORD |
| Depositing User: | MTMT SWORD |
| Date Deposited: | 07 Nov 2025 14:13 |
| Last Modified: | 07 Nov 2025 14:13 |
| URI: | https://real.mtak.hu/id/eprint/228513 |
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