@article{House:9984,
      recid = {9984},
      author = {House, Lisa and Mullady, Joy and Lobb, Alexandra E. and  House, Mark},
      title = {The Influence of Culture on the Impact of Recommendations  on Product Adoption: A Cross-Cultural Social Network Study},
      address = {2007},
      number = {381-2016-22307},
      series = {Selected Paper 174058},
      pages = {17},
      year = {2007},
      abstract = {Unlike traditional demographic variables that are based on  individual characteristics, social network analysis  examines the various relationships between people. The  basis of network analysis is to understand how actors are  located within a network.  Self reported data is collected  to describe the degree of the knowledge and trust between  each pair of participants in this study. Using methods from  graph theory the resulting matrices are analyzed resulting  in the assignment of degrees of connection among the  participants.  This research tests whether social networks  can be used to predict food product adoption in a  multi-country setting. The goal of this paper is to  determine if variables that represent different aspects of  group structure can better explain why some participants  choose to adopt new food products, while others do not.},
      url = {http://ageconsearch.umn.edu/record/9984},
      doi = {https://doi.org/10.22004/ag.econ.9984},
}