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Evolving network structure of academic institutions
Today’s colleges and universities consist of highly complex structures that dictate interactions between the administration, faculty, and student body. These structures can play a role in dictating the efficiency of policy enacted by the administration and determine the effect that curriculum change...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245131/ https://www.ncbi.nlm.nih.gov/pubmed/30533509 http://dx.doi.org/10.1007/s41109-016-0020-1 |
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author | Wang, Shufan Avagyan, Mariam Skardal, Per Sebastian |
author_facet | Wang, Shufan Avagyan, Mariam Skardal, Per Sebastian |
author_sort | Wang, Shufan |
collection | PubMed |
description | Today’s colleges and universities consist of highly complex structures that dictate interactions between the administration, faculty, and student body. These structures can play a role in dictating the efficiency of policy enacted by the administration and determine the effect that curriculum changes in one department have on other departments. Despite the fact that the features of these complex structures have a strong impact on the institutions, they remain by-and-large unknown in many cases. In this paper we study the academic structure of our home institution of Trinity College in Hartford, CT using the major and minor patterns between graduating students to build a temporal multiplex network describing the interactions between different departments. Using recent network science techniques developed for such temporal networks we identify the evolving community structures that organize departments’ interactions, as well as quantify the interdisciplinary centrality of each department. We implement this framework for Trinity College, finding practical insights and applications, but also present it as a general framework for colleges and universities to better understand their own structural makeup in order to better inform academic and administrative policy. |
format | Online Article Text |
id | pubmed-6245131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-62451312018-12-06 Evolving network structure of academic institutions Wang, Shufan Avagyan, Mariam Skardal, Per Sebastian Appl Netw Sci Research Today’s colleges and universities consist of highly complex structures that dictate interactions between the administration, faculty, and student body. These structures can play a role in dictating the efficiency of policy enacted by the administration and determine the effect that curriculum changes in one department have on other departments. Despite the fact that the features of these complex structures have a strong impact on the institutions, they remain by-and-large unknown in many cases. In this paper we study the academic structure of our home institution of Trinity College in Hartford, CT using the major and minor patterns between graduating students to build a temporal multiplex network describing the interactions between different departments. Using recent network science techniques developed for such temporal networks we identify the evolving community structures that organize departments’ interactions, as well as quantify the interdisciplinary centrality of each department. We implement this framework for Trinity College, finding practical insights and applications, but also present it as a general framework for colleges and universities to better understand their own structural makeup in order to better inform academic and administrative policy. Springer International Publishing 2017-01-19 2017 /pmc/articles/PMC6245131/ /pubmed/30533509 http://dx.doi.org/10.1007/s41109-016-0020-1 Text en © The Author(s) 2017 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 Wang, Shufan Avagyan, Mariam Skardal, Per Sebastian Evolving network structure of academic institutions |
title | Evolving network structure of academic institutions |
title_full | Evolving network structure of academic institutions |
title_fullStr | Evolving network structure of academic institutions |
title_full_unstemmed | Evolving network structure of academic institutions |
title_short | Evolving network structure of academic institutions |
title_sort | evolving network structure of academic institutions |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245131/ https://www.ncbi.nlm.nih.gov/pubmed/30533509 http://dx.doi.org/10.1007/s41109-016-0020-1 |
work_keys_str_mv | AT wangshufan evolvingnetworkstructureofacademicinstitutions AT avagyanmariam evolvingnetworkstructureofacademicinstitutions AT skardalpersebastian evolvingnetworkstructureofacademicinstitutions |