JOURNAL ARTICLE

Social stratification in networks: insights from co-authorship networks

Zeinab S. JalaliJosh IntroneSucheta Soundarajan

Year: 2023 Journal:   Journal of The Royal Society Interface Vol: 20 (198)Pages: 20220555-20220555   Publisher: Royal Society

Abstract

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.

Keywords:
Stratification (seeds) Social stratification Data science Sociology Computer science Biology Social science

Metrics

7
Cited By
1.51
FWCI (Field Weighted Citation Impact)
47
Refs
0.76
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Complex Network Analysis Techniques
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Social Capital and Networks
Social Sciences →  Social Sciences →  Sociology and Political Science
scientometrics and bibliometrics research
Social Sciences →  Decision Sciences →  Statistics, Probability and Uncertainty
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