Gender reversals in social networks based on prevailing kinship norms in the Mosuo of China
Date Issued
2021-04-09Publisher Version
10.3390/socsci10070253Author(s)
Mattison, Siobhan M.
Reynolds, Adam
Liu, Ruizhe
Baca, Gabrielle D.
Zhang, Meng
Sum, Chun-Yi
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https://hdl.handle.net/2144/43965Version
Published version
Citation (published version)
S. Mattison, A. Reynolds, R. Liu, G. Baca, M. Zhang, C. Sum. 2021. "Gender Reversals in Social Networks Based on Prevailing Kinship Norms in the Mosuo of China." https://doi.org/10.3390/socsci10070253.Abstract
Although cooperative social networks are considered key to human evolution, emphasis
has usually been placed on the functions of men’s cooperative networks. What do women’s networks
look like? Do they differ from men’s networks and what does this suggest about evolutionarily
inherited gender differences in reproductive and social strategies? In this paper, we test the ‘universal
gender differences’ hypothesis positing gender-specific network structures against the ‘gender
reversal’ hypothesis that posits that women’s networks look more ‘masculine’ under matriliny.
Specifically, we ask whether men’s friendship networks are always larger than women’s networks
and we investigate measures of centrality by gender and descent system. To do so, we use tools from
social network analysis and data on men’s and women’s friendship ties in matrilineal and patrilineal
Mosuo communities. In tentative support of the gender reversal hypothesis, we find that women’s
friendship networks in matriliny are relatively large. Measures of centrality and generalized linear
models otherwise reveal greater differences between communities than between men and women.
The data and analyses we present are primarily descriptive given limitations of sample size and
sampling strategy. Nonetheless, our results provide support for the flexible application of social
relationships across genders and clearly challenge the predominant narrative of universal gender
differences across space and time.
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Copyright: © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.Collections
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