Educational intervention can rewire village social networks
6 affiliations
- 1Human Nature Lab, Yale University, New Haven, CT USA
- 2Department of Biostatistics, Yale School of Public Health, New Haven, CT USA
- 3Department of Statistics and Data Science, Yale University, New Haven, CT USA
- 4Department of Statistics, Operations, and Data Science, Fox School of Business, Temple University, Philadelphia, PA USA
- 5Data Science Institute, Temple University, Philadelphia, PA USA
- 6Department of Sociology, Yale University, New Haven, CT USA
Abstract
Social networks shape behaviour, affect information dissemination and undergird collective action. And they can be exploited in the design of interventions in these domains1–7. Although social networks obey fundamental principles, such as the degree distribution8,9, they can nevertheless evolve as ties form and break. Here, through a randomized controlled trial involving a total of 8,331 people in 110 remote Honduran villages, we evaluate the secondary effects of a 22-month public-health intervention1 on pre-existing social-network structure. We used a design in which a varying fraction of village households received the intervention, and villages in which no one received the intervention were used as the primary reference group. In ‘low-dosage’ villages (in which 5–30% of households received the intervention), people who received the intervention tended to sever ties with untreated individuals to whom they previously went for health advice. Conversely, in high-dosage villages (50–100%), treated individuals increased their ties. These average changes are explained mainly by tie dynamics; that is, treated–treated pairs persist and form new links, whereas treated–untreated ties dissolve. A mediation analysis indicates that absorption of health information increases the likelihood of tie formation and persistence. The rewiring patterns generally lasted for three years after the intervention ceased. Moreover, although the intervention delivered health information, it reshaped friendship and financial ties, not just health-advice connections. In aggregate, the introduction of a new information regime acted as a kind of social institution, rewiring individuals’ connections even though the overall degree distribution of village-wide networks remained relatively stable.
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BibTeX
@article{papamichalis2026educational,
title = {{Educational intervention can rewire village social networks}},
author = {Marios Papamichalis and Laura Forastiere and Edoardo M. Airoldi and Nicholas A. Christakis},
journal = {Nature},
year = {2026},
month = oct,
doi = {10.1038/s41586-026-11154-7},
url = {https://doi.org/10.1038/s41586-026-11154-7},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Educational intervention can rewire village social networks
AU - Marios Papamichalis
AU - Laura Forastiere
AU - Edoardo M. Airoldi
AU - Nicholas A. Christakis
PY - 2026
DA - 2026/10/14
JO - Nature
DO - 10.1038/s41586-026-11154-7
UR - https://doi.org/10.1038/s41586-026-11154-7
AB - Social networks shape behaviour, affect information dissemination and undergird collective action. And they can be exploited in the design of interventions in these domains1–7. Although social networks obey fundamental principles, such as the degree distribution8,9, they can nevertheless evolve as ties form and break. Here, through a randomized controlled trial involving a total of 8,331 people in 110 remote Honduran villages, we evaluate the secondary effects of a 22-month public-health intervention1 on pre-existing social-network structure. We used a design in which a varying fraction of village households received the intervention, and villages in which no one received the intervention were used as the primary reference group. In ‘low-dosage’ villages (in which 5–30% of households received the intervention), people who received the intervention tended to sever ties with untreated individuals to whom they previously went for health advice. Conversely, in high-dosage villages (50–100%), treated individuals increased their ties. These average changes are explained mainly by tie dynamics; that is, treated–treated pairs persist and form new links, whereas treated–untreated ties dissolve. A mediation analysis indicates that absorption of health information increases the likelihood of tie formation and persistence. The rewiring patterns generally lasted for three years after the intervention ceased. Moreover, although the intervention delivered health information, it reshaped friendship and financial ties, not just health-advice connections. In aggregate, the introduction of a new information regime acted as a kind of social institution, rewiring individuals’ connections even though the overall degree distribution of village-wide networks remained relatively stable.
SN - 0028-0836
SN - 1476-4687
ER -