Inference on historical factions based on multi-layered network of historical figures
作者：
Highlights：
• We identify historical factions using multi-layered network of historical figures.
• Multi-layered network of historical figures is constructed using family relations.
• Semi-supervised learning for multi-layered networks is used to identify the factions.
• The identification benefits from matrix sparseness incurred from historical data.
• Experiments show that the proposed method can provide meaningful insights on history.
摘要
•We identify historical factions using multi-layered network of historical figures.•Multi-layered network of historical figures is constructed using family relations.•Semi-supervised learning for multi-layered networks is used to identify the factions.•The identification benefits from matrix sparseness incurred from historical data.•Experiments show that the proposed method can provide meaningful insights on history.
论文关键词：Historical big data analysis,Historical faction identification,Multi-layered network of historical figures,Semi-supervised learning
论文评审过程：Received 22 July 2019, Revised 24 May 2020, Accepted 26 June 2020, Available online 7 July 2020, Version of Record 14 July 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113703
