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Social stratification in networks: insights from co-authorship networks
It has been observed that real-world social networks often exhibit stratification along economic or other lines, with consequences for class mobility and access to opportunities. With the rise in human interaction data and extensive use of online social networks, the structure of social networks (re...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810428/ https://www.ncbi.nlm.nih.gov/pubmed/36596457 http://dx.doi.org/10.1098/rsif.2022.0555 |
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author | Jalali, Zeinab S. Introne, Josh Soundarajan, Sucheta |
author_facet | Jalali, Zeinab S. Introne, Josh Soundarajan, Sucheta |
author_sort | Jalali, Zeinab S. |
collection | PubMed |
description | It has been observed that real-world social networks often exhibit stratification along economic or other lines, with consequences for class mobility and access to opportunities. With the rise in human interaction data and extensive use of online social networks, the structure of social networks (representing connections between individuals) can be used for measuring stratification. However, although stratification has been studied extensively in the social sciences, there is no single, generally applicable metric for measuring the level of stratification in a network. In this work, we first propose the novel Stratification Assortativity (StA) metric, which measures the extent to which a network is stratified into different tiers. Then, we use the StA metric to perform an in-depth analysis of the stratification of five co-authorship networks. We examine the evolution of these networks over 50 years and show that these fields demonstrate an increasing level of stratification over time, and, correspondingly, the trajectory of a researcher’s career is increasingly correlated with her entry point into the network. |
format | Online Article Text |
id | pubmed-9810428 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-98104282023-01-11 Social stratification in networks: insights from co-authorship networks Jalali, Zeinab S. Introne, Josh Soundarajan, Sucheta J R Soc Interface Life Sciences–Physics interface It has been observed that real-world social networks often exhibit stratification along economic or other lines, with consequences for class mobility and access to opportunities. With the rise in human interaction data and extensive use of online social networks, the structure of social networks (representing connections between individuals) can be used for measuring stratification. However, although stratification has been studied extensively in the social sciences, there is no single, generally applicable metric for measuring the level of stratification in a network. In this work, we first propose the novel Stratification Assortativity (StA) metric, which measures the extent to which a network is stratified into different tiers. Then, we use the StA metric to perform an in-depth analysis of the stratification of five co-authorship networks. We examine the evolution of these networks over 50 years and show that these fields demonstrate an increasing level of stratification over time, and, correspondingly, the trajectory of a researcher’s career is increasingly correlated with her entry point into the network. The Royal Society 2023-01-04 /pmc/articles/PMC9810428/ /pubmed/36596457 http://dx.doi.org/10.1098/rsif.2022.0555 Text en © 2023 The Authors. https://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/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Life Sciences–Physics interface Jalali, Zeinab S. Introne, Josh Soundarajan, Sucheta Social stratification in networks: insights from co-authorship networks |
title | Social stratification in networks: insights from co-authorship networks |
title_full | Social stratification in networks: insights from co-authorship networks |
title_fullStr | Social stratification in networks: insights from co-authorship networks |
title_full_unstemmed | Social stratification in networks: insights from co-authorship networks |
title_short | Social stratification in networks: insights from co-authorship networks |
title_sort | social stratification in networks: insights from co-authorship networks |
topic | Life Sciences–Physics interface |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810428/ https://www.ncbi.nlm.nih.gov/pubmed/36596457 http://dx.doi.org/10.1098/rsif.2022.0555 |
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