Applying social network analysis, centrality measures in identification of climate change adaptation opinion leaders

Authors

  • Othieno Joseph Department of Agricultural Economics, University of Nairobi
  • Mugivane I Fred Department of Agricultural Economics, University of Nairobi
  • Nyaga Philip Faculty of Veterinary Medicine, University of Nairobi
  • Ogara William Department of Veterinary Public Health, Pharmacology and Toxicology, University of Nairobi
  • Muchemi Gerald Department of Veterinary Public Health, Pharmacology and Toxicology, University of Nairobi

DOI:

https://doi.org/10.3329/ijarit.v6i1.29188

Keywords:

Social Network Analysis, Climate Change, Information Flow

Abstract

Climate change is negatively affecting livelihoods dependent on rain fed agriculture in Kenya. Adaptation through adoption of appropriate agricultural technologies is necessary. Communication plays a critical role in dissemination of climate change information and adaptation. The study applied social network analysis (SNA) using NodeXL computer programme to generate socio-grams that showed patterns of information flow from which important network and individual characteristic of the opinion leaders were described. This study shows that SNA is applicable in climate change communication to identify opinion leaders by mapping out information flow patterns and using measures of centrality.

Int. J. Agril. Res. Innov. & Tech. 6 (1): 1-7, June, 2016

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Author Biography

Othieno Joseph, Department of Agricultural Economics, University of Nairobi



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Published

2016-08-12

How to Cite

Joseph, O., Fred, M. I., Philip, N., William, O., & Gerald, M. (2016). Applying social network analysis, centrality measures in identification of climate change adaptation opinion leaders. International Journal of Agricultural Research, Innovation and Technology, 6(1), 1–7. https://doi.org/10.3329/ijarit.v6i1.29188

Issue

Vol. 6 No. 1 (2016)

Section

Articles

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