The underpinning assumption of the proposed application of Social network analysis (SNA) to Food Security and Nutrition Systems (FSNS) is that the performance of a food system in terms of inclusiveness and healthy diets depends on the collective behaviour of individuals. SNA reveals some fundamental insights about the influence that individual actors’ behaviour (e.g., processors) have on the patterns and properties of the networks (e.g., food systems networks) and vice versa about the influence of networks structures on individual behaviour. By investigating into the multiple relationship patterns between socio-economic actors and the physical space within which actors operate, it also helps to understand the circumstances that affect actors’ behaviours. Moreover, compared to other analytical tools SNA has the capacity to

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