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Gender, Network Recall, and Structural Holes

Quintane, Eric; Brashears, Matthew E; Gonzalez-Gomez, Helena V; Brands, Raina; (2025) Gender, Network Recall, and Structural Holes. Personnel Psychology 10.1111/peps.12691. (In press). Green open access

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Abstract

Accurate recall of social networks is critical to individuals' success in organizations, as it enables them to leverage networks more effectively. Understanding whether men or women exhibit greater recall accuracy is particularly important given persistent gender inequalities in workplaces and the role of networks in shaping access to social resources and opportunities. We propose that women and men exhibit different levels of recall accuracy, which depend on the structural characteristics of the network. Specifically, women's greater reliance on the triadic closure mental schema—assuming a relationship between two individuals who are both connected to the same third party—enhances their recall accuracy in more cohesive networks with many closed triads but diminishes it in networks with more structural holes. Across three studies, including a demographically diverse sample representative of the US population, we confirm that women exhibit superior network recall accuracy on average and show that this advantage is contingent on network structure. This research advances our understanding of gender differences in network cognition and offers a potential cognitive explanation for women's underrepresentation in brokerage positions, which require recognizing open triads.

Type: Article
Title: Gender, Network Recall, and Structural Holes
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/peps.12691
Publisher version: https://doi.org/10.1111/peps.12691
Language: English
Additional information: © 2025 The Author(s). Personnel Psychology published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: Social Sciences, Psychology, Applied, Management, Psychology, Business & Economics, gender, network cognition, social network recall, structural holes, PERFORMANCE, POWER, BROKERAGE, SEX, PERCEPTIONS, MODELS, WOMEN, MEN
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > UCL School of Management
URI: https://discovery.ucl.ac.uk/id/eprint/10211396
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