Unraveling the Structure of Knowledge: Consistency in Everyday Networks, Diversity in Scientific

Owen G.W. Saunders; Chico Q. Camargo; Massimo Stella

doi:10.1007/978-3-031-57515-0_10

Unraveling the Structure of Knowledge: Consistency in Everyday Networks, Diversity in Scientific

Owen G.W. Saunders, Chico Q. Camargo, Massimo Stella

Division of English Language & Literature

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The patterns and dynamics that govern the flow of concepts and the association of information for various scientific domains, are not well understood in the realm of knowledge evolution and organisation. To that end, we look at using concept networks to capture the associations between these concepts as a domain grows. We compare concept networks as they grow for scientific domains, sci-fi literature, common news topics and science news, using Quantum Spectral Jensen-Shannon Divergence, to evaluate how consistent their network structures are at their early stages. We find that everyday concept networks tend to be more consistent with each other, whereas scientific networks are less consistent and we discuss the potential factors influencing the structures of these networks.

Original language	English
Title of host publication	Complex Networks XV - Proceedings of the 15th Conference on Complex Networks, CompleNet 2024
Editors	Federico Botta, Hugo Barbosa, Ronaldo Menezes, Mariana Macedo
Publisher	Springer Science and Business Media B.V.
Pages	125-135
Number of pages	11
ISBN (Print)	9783031575143
DOIs	https://doi.org/10.1007/978-3-031-57515-0_10
State	Published - 2024
Event	15th International Conference on Complex Networks, CompleNet 2024 - Exeter, United Kingdom Duration: 23 Apr 2024 → 26 Apr 2024

Publication series

Name	Springer Proceedings in Complexity
ISSN (Print)	2213-8684
ISSN (Electronic)	2213-8692

Conference

Conference	15th International Conference on Complex Networks, CompleNet 2024
Country/Territory	United Kingdom
City	Exeter
Period	23/04/24 → 26/04/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

Concept networks
Divergence
Network evolution and growth
Science of science

Access to Document

10.1007/978-3-031-57515-0_10

Cite this

Saunders, O. G. W., Camargo, C. Q., & Stella, M. (2024). Unraveling the Structure of Knowledge: Consistency in Everyday Networks, Diversity in Scientific. In F. Botta, H. Barbosa, R. Menezes, & M. Macedo (Eds.), Complex Networks XV - Proceedings of the 15th Conference on Complex Networks, CompleNet 2024 (pp. 125-135). (Springer Proceedings in Complexity). Springer Science and Business Media B.V.. https://doi.org/10.1007/978-3-031-57515-0_10

Saunders, Owen G.W. ; Camargo, Chico Q. ; Stella, Massimo. / Unraveling the Structure of Knowledge : Consistency in Everyday Networks, Diversity in Scientific. Complex Networks XV - Proceedings of the 15th Conference on Complex Networks, CompleNet 2024. editor / Federico Botta ; Hugo Barbosa ; Ronaldo Menezes ; Mariana Macedo. Springer Science and Business Media B.V., 2024. pp. 125-135 (Springer Proceedings in Complexity).

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Saunders, OGW, Camargo, CQ & Stella, M 2024, Unraveling the Structure of Knowledge: Consistency in Everyday Networks, Diversity in Scientific. in F Botta, H Barbosa, R Menezes & M Macedo (eds), Complex Networks XV - Proceedings of the 15th Conference on Complex Networks, CompleNet 2024. Springer Proceedings in Complexity, Springer Science and Business Media B.V., pp. 125-135, 15th International Conference on Complex Networks, CompleNet 2024, Exeter, United Kingdom, 23/04/24. https://doi.org/10.1007/978-3-031-57515-0_10

Unraveling the Structure of Knowledge: Consistency in Everyday Networks, Diversity in Scientific. / Saunders, Owen G.W.; Camargo, Chico Q.; Stella, Massimo.
Complex Networks XV - Proceedings of the 15th Conference on Complex Networks, CompleNet 2024. ed. / Federico Botta; Hugo Barbosa; Ronaldo Menezes; Mariana Macedo. Springer Science and Business Media B.V., 2024. p. 125-135 (Springer Proceedings in Complexity).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The patterns and dynamics that govern the flow of concepts and the association of information for various scientific domains, are not well understood in the realm of knowledge evolution and organisation. To that end, we look at using concept networks to capture the associations between these concepts as a domain grows. We compare concept networks as they grow for scientific domains, sci-fi literature, common news topics and science news, using Quantum Spectral Jensen-Shannon Divergence, to evaluate how consistent their network structures are at their early stages. We find that everyday concept networks tend to be more consistent with each other, whereas scientific networks are less consistent and we discuss the potential factors influencing the structures of these networks.

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Saunders OGW, Camargo CQ, Stella M. Unraveling the Structure of Knowledge: Consistency in Everyday Networks, Diversity in Scientific. In Botta F, Barbosa H, Menezes R, Macedo M, editors, Complex Networks XV - Proceedings of the 15th Conference on Complex Networks, CompleNet 2024. Springer Science and Business Media B.V. 2024. p. 125-135. (Springer Proceedings in Complexity). doi: 10.1007/978-3-031-57515-0_10