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Co-occurrence simplicial complexes in mathematics: identifying the holes of knowledge
In the last years complex networks tools contributed to provide insights on the structure of research, through the study of collaboration, citation and co-occurrence networks. The network approach focuses on pairwise relationships, often compressing multidimensional data structures and inevitably lo...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214324/ https://www.ncbi.nlm.nih.gov/pubmed/30839828 http://dx.doi.org/10.1007/s41109-018-0074-3 |
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author | Salnikov, Vsevolod Cassese, Daniele Lambiotte, Renaud Jones, Nick S. |
author_facet | Salnikov, Vsevolod Cassese, Daniele Lambiotte, Renaud Jones, Nick S. |
author_sort | Salnikov, Vsevolod |
collection | PubMed |
description | In the last years complex networks tools contributed to provide insights on the structure of research, through the study of collaboration, citation and co-occurrence networks. The network approach focuses on pairwise relationships, often compressing multidimensional data structures and inevitably losing information. In this paper we propose for the first time a simplicial complex approach to word co-occurrences, providing a natural framework for the study of higher-order relations in the space of scientific knowledge. Using topological methods we explore the conceptual landscape of mathematical research, focusing on homological holes, regions with low connectivity in the simplicial structure. We find that homological holes are ubiquitous, which suggests that they capture some essential feature of research practice in mathematics. k-dimensional holes die when every concept in the hole appears in an article together with other k+1 concepts in the hole, hence their death may be a sign of the creation of new knowledge, as we show with some examples. We find a positive relation between the size of a hole and the time it takes to be closed: larger holes may represent potential for important advances in the field because they separate conceptually distant areas. We provide further description of the conceptual space by looking for the simplicial analogs of stars and explore the likelihood of edges in a star to be also part of a homological cycle. We also show that authors’ conceptual entropy is positively related with their contribution to homological holes, suggesting that polymaths tend to be on the frontier of research. |
format | Online Article Text |
id | pubmed-6214324 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-62143242018-11-13 Co-occurrence simplicial complexes in mathematics: identifying the holes of knowledge Salnikov, Vsevolod Cassese, Daniele Lambiotte, Renaud Jones, Nick S. Appl Netw Sci Research In the last years complex networks tools contributed to provide insights on the structure of research, through the study of collaboration, citation and co-occurrence networks. The network approach focuses on pairwise relationships, often compressing multidimensional data structures and inevitably losing information. In this paper we propose for the first time a simplicial complex approach to word co-occurrences, providing a natural framework for the study of higher-order relations in the space of scientific knowledge. Using topological methods we explore the conceptual landscape of mathematical research, focusing on homological holes, regions with low connectivity in the simplicial structure. We find that homological holes are ubiquitous, which suggests that they capture some essential feature of research practice in mathematics. k-dimensional holes die when every concept in the hole appears in an article together with other k+1 concepts in the hole, hence their death may be a sign of the creation of new knowledge, as we show with some examples. We find a positive relation between the size of a hole and the time it takes to be closed: larger holes may represent potential for important advances in the field because they separate conceptually distant areas. We provide further description of the conceptual space by looking for the simplicial analogs of stars and explore the likelihood of edges in a star to be also part of a homological cycle. We also show that authors’ conceptual entropy is positively related with their contribution to homological holes, suggesting that polymaths tend to be on the frontier of research. Springer International Publishing 2018-08-28 2018 /pmc/articles/PMC6214324/ /pubmed/30839828 http://dx.doi.org/10.1007/s41109-018-0074-3 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Salnikov, Vsevolod Cassese, Daniele Lambiotte, Renaud Jones, Nick S. Co-occurrence simplicial complexes in mathematics: identifying the holes of knowledge |
title | Co-occurrence simplicial complexes in mathematics: identifying the holes of knowledge |
title_full | Co-occurrence simplicial complexes in mathematics: identifying the holes of knowledge |
title_fullStr | Co-occurrence simplicial complexes in mathematics: identifying the holes of knowledge |
title_full_unstemmed | Co-occurrence simplicial complexes in mathematics: identifying the holes of knowledge |
title_short | Co-occurrence simplicial complexes in mathematics: identifying the holes of knowledge |
title_sort | co-occurrence simplicial complexes in mathematics: identifying the holes of knowledge |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214324/ https://www.ncbi.nlm.nih.gov/pubmed/30839828 http://dx.doi.org/10.1007/s41109-018-0074-3 |
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