A Bayesian approach for the analysis of triadic data in cognitive social structures

作者：Swartz Tim B^*; Gill Paramjit S; Muthukumarana Saman

来源：Journal of the Royal Statistical Society - Series C: Applied Statistics , 2015, 64(4): 593-610.

DOI：10.1111/rssc.12096

• Bayesian analyses
• Cognitive social structures
• Markov chain Monte Carlo methods
• Social network analysis
• Triadic relations
• WinBUGS

The paper proposes a fully Bayesian approach for the analysis of triadic data in social networks. Inference is based on Markov chain Monte Carlo methods as implemented in the software package WinBUGS. We apply the methodology to two data sets to highlight the ease with which cognitive social structures can be analysed.

• 出版日期2015-8