Emergence of Structural Inequalities in Scientific Citation Networks

03/19/2021
by   Buddhika Nettasinghe, et al.
0

Structural inequalities persist in society, conferring systematic advantages to some people at the expense of others, for example, by giving them substantially more influence and opportunities. Using bibliometric data about authors of scientific publications, we identify two types of structural inequalities in scientific citations. First, female authors, who represent a minority of researchers, receive less recognition for their work (through citations) relative to male authors; second, authors affiliated with top-ranked institutions, who are also a minority, receive substantially more recognition compared to other authors. We present a model for the growth of directed citation networks and show that citations disparities arise from individual preferences to cite authors from the same group (homophily), highly cited or active authors (preferential attachment), as well as the size of the group and how frequently new authors join. We analyze the model and show that its predictions align well with real-world observations. Our theoretical and empirical analysis also suggests potential strategies to mitigate structural inequalities in science. In particular, we find that merely increasing the minority group size does little to narrow the disparities. Instead, reducing the homophily of each group, frequently adding new authors to a research field while providing them an accessible platform among existing, established authors, together with balanced group sizes can have the largest impact on reducing inequality. Our work highlights additional complexities of mitigating structural disparities stemming from asymmetric relations (e.g., directed citations) compared to symmetric relations (e.g., collaborations).

READ FULL TEXT

page 1

page 3

research
07/12/2018

A network-based citation indicator of scientific performance

Scientists are embedded in social and information networks that influenc...
research
08/31/2019

Evolution of interdependent co-authorship and citation networks

Studies of bibliographic data suggest a strong correlation between the g...
research
04/26/2020

Citation Cascade and the Evolution of Topic Relevance

Citation analysis, as a tool for quantitative studies of science, has lo...
research
09/02/2016

Citation Classification for Behavioral Analysis of a Scientific Field

Citations are an important indicator of the state of a scientific field,...
research
05/02/2017

Quantitative and Qualitative Analysis of Editor Behavior through Potentially Coercive Citations

How much is the h-index of an editor of a well ranked journal improved d...
research
03/04/2017

Scientific wealth and inequality within nations

We show that the greater the scientific wealth of a nation, the more lik...
research
01/14/2021

To what extent is researchers' data-sharing motivated by formal mechanisms of recognition and credit?

Data sharing by researchers is a centerpiece of Open Science principles ...

Please sign up or login with your details

Forgot password? Click here to reset