Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Jalali, Zeinab S., Introne, Josh, Soundarajan, Sucheta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
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
_version_ 1784863308461899776
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
work_keys_str_mv AT jalalizeinabs socialstratificationinnetworksinsightsfromcoauthorshipnetworks
AT intronejosh socialstratificationinnetworksinsightsfromcoauthorshipnetworks
AT soundarajansucheta socialstratificationinnetworksinsightsfromcoauthorshipnetworks