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Quantification of the spatial–temporal patterns of great ideas

Quantitative understanding of the process of knowledge creation is crucial for accelerating the advance of science. Recent years have witnessed a great effort to address this issue by studying the publication data of scientific journals, leading to a variety of surprising discoveries at both individ...

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Autores principales: Li, Xiaokai, Zhang, Peng, Zeng, An
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032422/
https://www.ncbi.nlm.nih.gov/pubmed/36970179
http://dx.doi.org/10.1093/pnasnexus/pgad060
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author Li, Xiaokai
Zhang, Peng
Zeng, An
author_facet Li, Xiaokai
Zhang, Peng
Zeng, An
author_sort Li, Xiaokai
collection PubMed
description Quantitative understanding of the process of knowledge creation is crucial for accelerating the advance of science. Recent years have witnessed a great effort to address this issue by studying the publication data of scientific journals, leading to a variety of surprising discoveries at both individual level and disciplinary level. However, before scientific journals appeared on a large scale and became the mainstream for publishing research results, there are also intellectual achievements that have changed the world, which have usually become classic and are now referred to as the great ideas of great people. So far, little is known about the general law of their birth. In this paper, we reference Wikipedia and academic history books to collect 2001 magnum opuses as representations of great ideas, covering nine disciplines. Using the year and place of publication of these magnum opuses, we show that the birth of great ideas is very concentrated in geography, and more concentrated than other human activities such as contemporary knowledge production. We construct a spatial–temporal bipartite network to study the similarity of output structures between different historical periods and discover the existence of a Great Transformation around the 1870s, which may be associated with the rise of the US in academia. Finally, we re-rank cities and historical periods by employing an iterative approach to study cities’ leadership and historical periods’ prosperity.
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spelling pubmed-100324222023-03-23 Quantification of the spatial–temporal patterns of great ideas Li, Xiaokai Zhang, Peng Zeng, An PNAS Nexus Physical Sciences and Engineering Quantitative understanding of the process of knowledge creation is crucial for accelerating the advance of science. Recent years have witnessed a great effort to address this issue by studying the publication data of scientific journals, leading to a variety of surprising discoveries at both individual level and disciplinary level. However, before scientific journals appeared on a large scale and became the mainstream for publishing research results, there are also intellectual achievements that have changed the world, which have usually become classic and are now referred to as the great ideas of great people. So far, little is known about the general law of their birth. In this paper, we reference Wikipedia and academic history books to collect 2001 magnum opuses as representations of great ideas, covering nine disciplines. Using the year and place of publication of these magnum opuses, we show that the birth of great ideas is very concentrated in geography, and more concentrated than other human activities such as contemporary knowledge production. We construct a spatial–temporal bipartite network to study the similarity of output structures between different historical periods and discover the existence of a Great Transformation around the 1870s, which may be associated with the rise of the US in academia. Finally, we re-rank cities and historical periods by employing an iterative approach to study cities’ leadership and historical periods’ prosperity. Oxford University Press 2023-02-27 /pmc/articles/PMC10032422/ /pubmed/36970179 http://dx.doi.org/10.1093/pnasnexus/pgad060 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of National Academy of Sciences. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Physical Sciences and Engineering
Li, Xiaokai
Zhang, Peng
Zeng, An
Quantification of the spatial–temporal patterns of great ideas
title Quantification of the spatial–temporal patterns of great ideas
title_full Quantification of the spatial–temporal patterns of great ideas
title_fullStr Quantification of the spatial–temporal patterns of great ideas
title_full_unstemmed Quantification of the spatial–temporal patterns of great ideas
title_short Quantification of the spatial–temporal patterns of great ideas
title_sort quantification of the spatial–temporal patterns of great ideas
topic Physical Sciences and Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032422/
https://www.ncbi.nlm.nih.gov/pubmed/36970179
http://dx.doi.org/10.1093/pnasnexus/pgad060
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