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Categoría del artículo: Article
Publicado en línea: 29 ago 2023
Páginas: 50 - 54
DOI: https://doi.org/10.2478/connections-2022-0003
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© 2023 Zachary P. Neal, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
The fields of social network analysis and network science have recently undertaken efforts to address issues of gender diversity and representation. However, despite these important efforts, subtle threats to representation are likely to persist. I use a 2023 global survey of 260 network researchers to show that men rate themselves as having more expertise with networks than women. This is troubling because, to the extent that women believe they lack the expertise to be considered for awards or collaboration opportunities, it can impede other efforts to diversify the field. I conclude by discussing some possible explanations for this finding and some possible strategies for addressing its consequences.