TY - JOUR
T1 - Social stratification in networks
T2 - insights from co-authorship networks
AU - Jalali, Zeinab S.
AU - Introne, Josh
AU - Soundarajan, Sucheta
N1 - Funding Information:
S.S. was supported in part by NSF awards grant no. 1908048 and grant no. 2047224. Acknowledgements
Publisher Copyright:
© 2023 The Authors.
PY - 2023/1/4
Y1 - 2023/1/4
N2 - 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.
AB - 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.
KW - class stratification
KW - social networks
KW - social stratification
UR - http://www.scopus.com/inward/record.url?scp=85145429113&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85145429113&partnerID=8YFLogxK
U2 - 10.1098/rsif.2022.0555
DO - 10.1098/rsif.2022.0555
M3 - Article
C2 - 36596457
AN - SCOPUS:85145429113
SN - 1742-5689
VL - 20
JO - Journal of the Royal Society Interface
JF - Journal of the Royal Society Interface
IS - 198
M1 - 20220555
ER -