Statistical analysis of network data - An application to diffusion of innovation

Jukka Nyblom, Steve Borgatti, Juha Roslakka, Mikko A. Salo

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

General methodology is developed here to deal with the association between a a binary variable and network connections with or without confounding covariates. Also the case when the network is observed at several time periods is treated. As an application we consider the diffusion of organic farming in the province of North Karelia in Finland. It turns out that organic farms are more clustered than would be expected under pure random allocation. The neighborhood effect remains when adjusting for the production lines of the farms. The spatio-temporal analysis shows that new adopters are more often found within the neighborhoods of each others and of earlier adopters.

Original languageEnglish
Pages (from-to)175-195
Number of pages21
JournalSocial Networks
Volume25
Issue number2
DOIs
StatePublished - May 2003

Bibliographical note

Funding Information:
The authors thank an anonymous referee whose suggestions led to improvements in the paper. The research was funded by Academy of Finland.

Keywords

  • Logistic regression
  • Neighborhood effect
  • Organic farming
  • Permutation tests
  • Spatio-temporal association

ASJC Scopus subject areas

  • Anthropology
  • Sociology and Political Science
  • General Social Sciences
  • General Psychology

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