Inducing Efficient and Equitable Professional Networks through Link Recommendations
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| Format: | Preprint |
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2025
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| _version_ | 1866915184366321664 |
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| author | Dwork, Cynthia Hays, Chris Hu, Lunjia Immorlica, Nicole Perdomo, Juan |
| author_facet | Dwork, Cynthia Hays, Chris Hu, Lunjia Immorlica, Nicole Perdomo, Juan |
| contents | Professional networks are a key determinant of individuals' labor market outcomes. They may also play a role in either exacerbating or ameliorating inequality of opportunity across demographic groups. In a theoretical model of professional network formation, we show that inequality can increase even without exogenous in-group preferences, confirming and complementing existing theoretical literature. Increased inequality emerges from the differential leverage privileged and unprivileged individuals have in forming connections due to their asymmetric ex ante prospects. This is a formalization of a source of inequality in the labor market which has not been previously explored.
We next show how inequality-aware platforms may reduce inequality by subsidizing connections, through link recommendations that reduce costs, between privileged and unprivileged individuals. Indeed, mixed-privilege connections turn out to be welfare improving, over all possible equilibria, compared to not recommending links or recommending some smaller fraction of cross-group links. Taken together, these two findings reveal a stark reality: professional networking platforms that fail to foster integration in the link formation process risk reducing the platform's utility to its users and exacerbating existing labor market inequality. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_04542 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Inducing Efficient and Equitable Professional Networks through Link Recommendations Dwork, Cynthia Hays, Chris Hu, Lunjia Immorlica, Nicole Perdomo, Juan Computer Science and Game Theory Computers and Society Professional networks are a key determinant of individuals' labor market outcomes. They may also play a role in either exacerbating or ameliorating inequality of opportunity across demographic groups. In a theoretical model of professional network formation, we show that inequality can increase even without exogenous in-group preferences, confirming and complementing existing theoretical literature. Increased inequality emerges from the differential leverage privileged and unprivileged individuals have in forming connections due to their asymmetric ex ante prospects. This is a formalization of a source of inequality in the labor market which has not been previously explored. We next show how inequality-aware platforms may reduce inequality by subsidizing connections, through link recommendations that reduce costs, between privileged and unprivileged individuals. Indeed, mixed-privilege connections turn out to be welfare improving, over all possible equilibria, compared to not recommending links or recommending some smaller fraction of cross-group links. Taken together, these two findings reveal a stark reality: professional networking platforms that fail to foster integration in the link formation process risk reducing the platform's utility to its users and exacerbating existing labor market inequality. |
| title | Inducing Efficient and Equitable Professional Networks through Link Recommendations |
| topic | Computer Science and Game Theory Computers and Society |
| url | https://arxiv.org/abs/2503.04542 |