Joint estimation of non-parametric transitivity and preferential attachment functions in scientific co-authorship networks
作者:
Highlights:
• Transitivity and preferential attachment exist jointly in two co-authorship networks.
• Neither alone could describe the networks well.
• Their functional forms deviate substantially from the conventional power-law form.
• Transitivity greatly dominated preferential attachment in both networks.
摘要
•Transitivity and preferential attachment exist jointly in two co-authorship networks.•Neither alone could describe the networks well.•Their functional forms deviate substantially from the conventional power-law form.•Transitivity greatly dominated preferential attachment in both networks.
论文关键词:Transitivity,Preferential attachment,Co-authorship networks,Collaboration networks,Complex networks,Network growth
论文评审过程:Received 6 August 2019, Revised 31 March 2020, Accepted 1 April 2020, Available online 5 June 2020, Version of Record 5 June 2020.
论文官网地址:https://doi.org/10.1016/j.joi.2020.101042