Analysis of reference and citation copying in evolving bibliographic networks

作者：

Highlights：

• We propose RefOrCite, a new model that allows for copying of both the references made from (out-neighbors), as well as the citations made to (in-neighbors) a paper.

• We leverage four popular large-scale citation networks to showcase the effectiveness of RefOrCite.

• Empirically and analytically, RefOrCite, matches the degree distribution better and also generates number of triangles closer to that in real data.

摘要

•We propose RefOrCite, a new model that allows for copying of both the references made from (out-neighbors), as well as the citations made to (in-neighbors) a paper.•We leverage four popular large-scale citation networks to showcase the effectiveness of RefOrCite.•Empirically and analytically, RefOrCite, matches the degree distribution better and also generates number of triangles closer to that in real data.

论文关键词：Citation network,Preferential attachment,Growth models

论文评审过程：Received 15 September 2019, Revised 12 December 2019, Accepted 23 December 2019, Available online 20 January 2020, Version of Record 20 January 2020.

论文官网地址：https://doi.org/10.1016/j.joi.2019.101003