Quantifying the structural and temporal characteristics of negative links in signed citation networks

作者:

Highlights:

• We construct a signed network based on citation sentiment to identify negative links.

• Papers with different impacts have a similar probability of receiving negative citations.

• Negative citation behavior of a paper and its citation counts are unrelated.

• We reveal the temporal random rules and colocation patterns of negative citations.

• We find an association between negative citations and the impact of cited papers.

摘要

•We construct a signed network based on citation sentiment to identify negative links.•Papers with different impacts have a similar probability of receiving negative citations.•Negative citation behavior of a paper and its citation counts are unrelated.•We reveal the temporal random rules and colocation patterns of negative citations.•We find an association between negative citations and the impact of cited papers.

论文关键词:Negative citations,Citation behavior,Signed network,Natural-language processing

论文评审过程:Received 1 April 2022, Revised 3 June 2022, Accepted 12 June 2022, Available online 23 June 2022, Version of Record 23 June 2022.

论文官网地址:https://doi.org/10.1016/j.ipm.2022.102996