A geometric graph model for coauthorship networks
作者：
Highlights：
• A geometric graph is proposed to illustrate certain factors engendering collaborations, such as the relativity of research interests, academic influences of authors, etc.
• The model gives a geometric view to understand collaborations at the level of research teams instead of authors, and illustrates the scale-free property of coauthorship networks as a consequence arising from the inhomogeneous sizes of research teams and article teams.
• The model also successfully predicts some other statistical features of empirical coauthorship networks, such as degree assortativity, high clustering, giant component, etc.
摘要
Highlights•A geometric graph is proposed to illustrate certain factors engendering collaborations, such as the relativity of research interests, academic influences of authors, etc.•The model gives a geometric view to understand collaborations at the level of research teams instead of authors, and illustrates the scale-free property of coauthorship networks as a consequence arising from the inhomogeneous sizes of research teams and article teams.•The model also successfully predicts some other statistical features of empirical coauthorship networks, such as degree assortativity, high clustering, giant component, etc.
论文关键词：Coauthorship network,Modelling,Geometric graph,Hypergraph
论文评审过程：Received 8 July 2015, Accepted 1 February 2016, Available online 11 February 2016, Version of Record 11 February 2016.
论文官网地址：https://doi.org/10.1016/j.joi.2016.02.001
