Interpreting the formation of co-author networks via utility analysis
作者：
Highlights：
• Utility analysis is introduced to interpret the formation of coauthor network.
• Meeting process is considered as an a latent variable.
• A double MCMC algorithm is developed to estimate preference parameters.
• Flexible meeting process is allowed and can further be inferred.
• Numerical experiments and one application are designed to test the method.
摘要
•Utility analysis is introduced to interpret the formation of coauthor network.•Meeting process is considered as an a latent variable.•A double MCMC algorithm is developed to estimate preference parameters.•Flexible meeting process is allowed and can further be inferred.•Numerical experiments and one application are designed to test the method.
论文关键词：Human information behaviour,Co-author network,Utility analysis,Network formation,MCMC algorithm
论文评审过程：Received 7 August 2016, Revised 16 December 2016, Accepted 19 December 2016, Available online 30 January 2017, Version of Record 30 January 2017.
论文官网地址：https://doi.org/10.1016/j.ipm.2016.12.007
