Social Network Analysis (SNA)


Knowledge, innovations and learning flows among people according to their networks. Some networks are tightly knit with high levels of social capital, like extended families, and others have weaker ties. There are formal networks like a Farmer Association and informal ones, like people who buy and sell with each other at a market. SNA and other approaches to networks help to identify people who are highly connected and can help spread ideas faster. Network analysis can also help with modeling different possible interventions, how they might spread, and their effects.

Part of Solutions

  • Build a Farmer Research Network
  • Fundation Valles FRN: working with PAR in Bolivia
  • PROSUCO FRN: Yapuchiri climate monitoring

  • Photos

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    • Social network models for natural resource use and extraction, Ken A. Frank, 2011

      The analysis of social networks has tremendous capacity to inform social science and policy about how people extract natural resources (e.g. Prell et al., 2009). Attention to social networks frees us from the typical assumptions that individuals act independently or are independent conditional on membership in common organizations (Frank, 1998). Instead attention to social networks embraces the relational (Emirbayer, 1997), and, as it does so, provides a potential bridge between different disciplines and modes of research.

    • Local forecast communication in the altiplano, Gilles and Valdivia, 2009

      According to data from two Altiplano communities, Andean farmers do not use the forecasts broadcast by national weather services . . . so what forecast information do they use?

    Organisations Involved