On the inadequacy of nominal assortativity for assessing homophily in networks
Abstract Nominal assortativity (or discrete assortativity) is widely used to characterize group mixing patterns and homophily in networks, enabling researchers to analyze how groups interact with one another. Here we demonstrate that the measure presents severe shortcomings when applied to networks...
Main Authors: | Fariba Karimi, Marcos Oliveira |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-11-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-48113-5 |
Similar Items
-
Assortative and preferential attachment lead to core-periphery networks
by: Javier Ureña-Carrión, et al.
Published: (2023-12-01) -
Revisiting Homophily Ratio: A Relation-Aware Graph Neural Network for Homophily and Heterophily
by: Wei Huang, et al.
Published: (2023-02-01) -
The Inadequacy of Discrete Scenarios in Assessing Deep Neural Networks
by: T. Ken Mori, et al.
Published: (2022-01-01) -
Board Homophily, Board Diversity and Network Centrality
by: Michał Zdziarski, et al.
Published: (2016-07-01) -
Online homophily experiments data
by: Launay, J, et al.
Published: (2014)