Cargando…

Intermediacy of publications

Citation networks of scientific publications offer fundamental insights into the structure and development of scientific knowledge. We propose a new measure, called intermediacy, for tracing the historical development of scientific knowledge. Given two publications, an older and a more recent one, i...

Descripción completa

Detalles Bibliográficos
Autores principales: Šubelj, Lovro, Waltman, Ludo, Traag, Vincent, van Eck, Nees Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029947/
https://www.ncbi.nlm.nih.gov/pubmed/32218924
http://dx.doi.org/10.1098/rsos.190207
_version_ 1783499263835111424
author Šubelj, Lovro
Waltman, Ludo
Traag, Vincent
van Eck, Nees Jan
author_facet Šubelj, Lovro
Waltman, Ludo
Traag, Vincent
van Eck, Nees Jan
author_sort Šubelj, Lovro
collection PubMed
description Citation networks of scientific publications offer fundamental insights into the structure and development of scientific knowledge. We propose a new measure, called intermediacy, for tracing the historical development of scientific knowledge. Given two publications, an older and a more recent one, intermediacy identifies publications that seem to play a major role in the historical development from the older to the more recent publication. The identified publications are important in connecting the older and the more recent publication in the citation network. After providing a formal definition of intermediacy, we study its mathematical properties. We then present two empirical case studies, one tracing historical developments at the interface between the community detection literature and the scientometric literature and one examining the development of the literature on peer review. We show both conceptually and empirically how intermediacy differs from main path analysis, which is the most popular approach for tracing historical developments in citation networks. Main path analysis tends to favour longer paths over shorter ones, whereas intermediacy has the opposite tendency. Compared to the main path analysis, we conclude that intermediacy offers a more principled approach for tracing the historical development of scientific knowledge.
format Online
Article
Text
id pubmed-7029947
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher The Royal Society
record_format MEDLINE/PubMed
spelling pubmed-70299472020-03-26 Intermediacy of publications Šubelj, Lovro Waltman, Ludo Traag, Vincent van Eck, Nees Jan R Soc Open Sci Computer Science and Artificial Intelligence Citation networks of scientific publications offer fundamental insights into the structure and development of scientific knowledge. We propose a new measure, called intermediacy, for tracing the historical development of scientific knowledge. Given two publications, an older and a more recent one, intermediacy identifies publications that seem to play a major role in the historical development from the older to the more recent publication. The identified publications are important in connecting the older and the more recent publication in the citation network. After providing a formal definition of intermediacy, we study its mathematical properties. We then present two empirical case studies, one tracing historical developments at the interface between the community detection literature and the scientometric literature and one examining the development of the literature on peer review. We show both conceptually and empirically how intermediacy differs from main path analysis, which is the most popular approach for tracing historical developments in citation networks. Main path analysis tends to favour longer paths over shorter ones, whereas intermediacy has the opposite tendency. Compared to the main path analysis, we conclude that intermediacy offers a more principled approach for tracing the historical development of scientific knowledge. The Royal Society 2020-01-15 /pmc/articles/PMC7029947/ /pubmed/32218924 http://dx.doi.org/10.1098/rsos.190207 Text en © 2020 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Computer Science and Artificial Intelligence
Šubelj, Lovro
Waltman, Ludo
Traag, Vincent
van Eck, Nees Jan
Intermediacy of publications
title Intermediacy of publications
title_full Intermediacy of publications
title_fullStr Intermediacy of publications
title_full_unstemmed Intermediacy of publications
title_short Intermediacy of publications
title_sort intermediacy of publications
topic Computer Science and Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029947/
https://www.ncbi.nlm.nih.gov/pubmed/32218924
http://dx.doi.org/10.1098/rsos.190207
work_keys_str_mv AT subeljlovro intermediacyofpublications
AT waltmanludo intermediacyofpublications
AT traagvincent intermediacyofpublications
AT vaneckneesjan intermediacyofpublications