Integrating Social Network Analysis and correlation agricultural extension: Case of climate change adaptation communication
View/ Open
Date
2014-07Author
Othieno, O. Joseph
Mugivane, I. Fred
Nyagah, Philip
Muchemi, Gerald
Language
enMetadata
Show full item recordAbstract
Communication plays a critical role in climate change adaptation; farmers faced with this challenge are
continually sharing information and adopting appropriate agricultural technologies. This study used
Social Network Analysis (SNA) to study how farmers adapting to climate chanqe communicate. SNA
was used to assess the effects of social network structures on climate change adaptation
communication among fanners in Sakai sub-location in Makueni County in Kenya and correlation
analysis to determine factors that determine access to information. The study focused on how
information flows through a social system. SNA is a relatively new methodology that has gained
currency due to its ability to combine graph theory, statistics and computer programmes to produce
visual sociograms and indices that assign values to relationships in a network. Correlation was used to
show the association between study variables. The integration of correlation in SNA is shown to
increase the understanding of heterophily and homophily in group communications.
Citation
Global Science Research JournalsSponsorhip
University of NairobiPublisher
Faculty of Agriculture, University of Nairobi