Abstract

Background. In recent years, social network analysis methods have been applied to study the relationships among farmers. However, most studies have not paid attention to the different types of relationships that can be found in these networks, particularly with regard to the interactions between farmers. Hence, in this study, a multiplex network approach was used Purpose. to examine the interdependencies between farmers' relationships and the distinct relationship layers built around them were analyzed. We used data collected from a rural farming Methodology. community in Ghana and analyze our data using multiplex network analysis. The re Findings. sults showed that each layer generated by each type of relationship had a distinct structure and that most relationships were independent. Relationships among farmers for higher yields can facilitate the development of policies and strategies that encourage knowledge exchange and collaboration, funding access, and joint ventures. Appropriate management of the relationships can help maximize benets to farmers. Our Originality. theory-building study has implications for enhancing the productivity and performance of farmers.

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