A model of network redistributive pressure

Abstract In this paper, we propose a network model to explain the implications of the pressure to share resources. Individuals use the network to establish social interactions that allow them to increase their income. They also use the network as a safety and to ask for assistance in case of need. The network is therefore a system characterized by social pressure to share and redistribute surplus of resources among members. The main result is that the potential redistributive pressure from other network members causes individuals to behave inefficiently. The number of social interactions used to employ workers displays a non-monotonic pattern with respect to the number of neighbors (degree): it increases for intermediate degree and decreases for high degree. Respect to a benchmark case without social pressure, individuals with few (many) network members interact more (less). Finally, we show that these predictions are consistent with the results obtained in a set of field experiments run in rural Tanzania.

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Publication Details

Journal
Network Science
Published
2025-01-01
DOI
https://doi.org/10.1017/nws.2024.18
Citations
1
Primary Topic
Game Theory and Applications
Type
article
Field-Weighted Citation Impact
2.11
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article

A model of network redistributive pressure

Salvatore Di Falco, Francesco Feri, Paolo Pin
1 citations
Network Science
Game Theory and Applications
2.11
article

A model of network redistributive pressure

Salvatore Di Falco, Francesco Feri, Paolo Pin
article en
1 citations

Abstract

Abstract In this paper, we propose a network model to explain the implications of the pressure to share resources. Individuals use the network to establish social interactions that allow them to increase their income. They also use the network as a safety and to ask for assistance in case of need. The network is therefore a system characterized by social pressure to share and redistribute surplus of resources among members. The main result is that the potential redistributive pressure from other network members causes individuals to behave inefficiently. The number of social interactions used to employ workers displays a non-monotonic pattern with respect to the number of neighbors (degree): it increases for intermediate degree and decreases for high degree. Respect to a benchmark case without social pressure, individuals with few (many) network members interact more (less). Finally, we show that these predictions are consistent with the results obtained in a set of field experiments run in rural Tanzania.

Network ScienceVol. 13
University of Geneva (CH), Royal Holloway University of London (GB), Bocconi University (IT)
No poverty
Openalex Percentile: Top 17%
Game Theory and Applications
2.11
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A model of network redistributive pressure — Salvatore Di Falco, Francesco Feri, et al. · Network Science (2025) | TGRS Research Map | TGRS