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Taming vagueness: The philosophy of network science

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Taming vagueness: The philosophy of network science. / Elek, Gabor; Babarczy, Eszter.
In: Synthese, Vol. 200, No. 2, 68, 04.03.2022.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Elek, G & Babarczy, E 2022, 'Taming vagueness: The philosophy of network science', Synthese, vol. 200, no. 2, 68. https://doi.org/10.1007/s11229-022-03622-0

APA

Elek, G., & Babarczy, E. (2022). Taming vagueness: The philosophy of network science. Synthese, 200(2), Article 68. https://doi.org/10.1007/s11229-022-03622-0

Vancouver

Elek G, Babarczy E. Taming vagueness: The philosophy of network science. Synthese. 2022 Mar 4;200(2):68. doi: 10.1007/s11229-022-03622-0

Author

Elek, Gabor ; Babarczy, Eszter. / Taming vagueness : The philosophy of network science. In: Synthese. 2022 ; Vol. 200, No. 2.

Bibtex

@article{31318853f3df466380f46259fa14508e,
title = "Taming vagueness: The philosophy of network science",
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.",
keywords = "Network science, Vagueness, Representation, Complexity, Modularity",
author = "Gabor Elek and Eszter Babarczy",
year = "2022",
month = mar,
day = "4",
doi = "10.1007/s11229-022-03622-0",
language = "English",
volume = "200",
journal = "Synthese",
issn = "0039-7857",
publisher = "Springer Netherlands",
number = "2",

}

RIS

TY - JOUR

T1 - Taming vagueness

T2 - The philosophy of network science

AU - Elek, Gabor

AU - Babarczy, Eszter

PY - 2022/3/4

Y1 - 2022/3/4

N2 - 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.

AB - 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.

KW - Network science

KW - Vagueness

KW - Representation

KW - Complexity

KW - Modularity

U2 - 10.1007/s11229-022-03622-0

DO - 10.1007/s11229-022-03622-0

M3 - Journal article

VL - 200

JO - Synthese

JF - Synthese

SN - 0039-7857

IS - 2

M1 - 68

ER -