Social networks and international migration in Honduran villages

Social relationships are central to shaping international migration patterns, yet the link between widescale network structure and mobility decisions remains poorly understood. Here, we investigate two key mechanisms by which social networks influence migration behavior: transmission of information and resources, and comparison of social status. These mechanisms suggest distinct sets of alters that an ego may emulate with respect to their migration behaviors, resulting in divergent mobility trajectories within and across communities. Leveraging longitudinal data from 73 Honduran villages ([Formula: see text] individuals) over six years, we use a Linear Network Autocorrelation Modeling framework to disentangle the effects of kinship, friendship, and economic ties on international migration decisions. Our findings reveal that incorporating social network factors as predictors significantly improves model fit. While indicators for resource-sharing processes substantially contribute to model performance, the inclusion of structural comparison mechanisms does not provide additional explanatory power. These results underscore the critical role of information and resource transmission within social networks in facilitating migration behaviors.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-01-02
DOI
https://doi.org/10.1073/pnas.2505818122
Primary Topic
Migration and Labor Dynamics
Type
article
Field-Weighted Citation Impact
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article

Social networks and international migration in Honduran villages

Nicholas A. Christakis, Loring J. Thomas, Filiz Garip
Proceedings of the National Academy of Sciences
Migration and Labor Dynamics
article

Social networks and international migration in Honduran villages

Nicholas A. Christakis, Loring J. Thomas, Filiz Garip
article en

Abstract

Social relationships are central to shaping international migration patterns, yet the link between widescale network structure and mobility decisions remains poorly understood. Here, we investigate two key mechanisms by which social networks influence migration behavior: transmission of information and resources, and comparison of social status. These mechanisms suggest distinct sets of alters that an ego may emulate with respect to their migration behaviors, resulting in divergent mobility trajectories within and across communities. Leveraging longitudinal data from 73 Honduran villages ([Formula: see text] individuals) over six years, we use a Linear Network Autocorrelation Modeling framework to disentangle the effects of kinship, friendship, and economic ties on international migration decisions. Our findings reveal that incorporating social network factors as predictors significantly improves model fit. While indicators for resource-sharing processes substantially contribute to model performance, the inclusion of structural comparison mechanisms does not provide additional explanatory power. These results underscore the critical role of information and resource transmission within social networks in facilitating migration behaviors.

Proceedings of the National Academy of SciencesVol. 123(1)
Princeton University (US), Princeton Public Schools (US), Yale University (US)
Reduced inequalities
Openalex Percentile: Top 99%
Migration and Labor Dynamics
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Social networks and international migration in Honduran villages — Nicholas A. Christakis, Loring J. Thomas, et al. · Proceedings of the National Academy of Sciences (2026) | TGRS Research Map | TGRS