Stochastic block model reveals maps of citation patterns and their evolution in time
作者：
Highlights：
• Networks built of millions of citations are analysed using stochastic block models.
• Tracking the evolution of science for more than hundred years.
• Introducing block networks to visualise multi-scale structure of citation networks.
• Variety of different block types are found, i.e. clusters, bridges, sources, and sinks.
• Subject categories’ power to predict network structure is estimated.
摘要
•Networks built of millions of citations are analysed using stochastic block models.•Tracking the evolution of science for more than hundred years.•Introducing block networks to visualise multi-scale structure of citation networks.•Variety of different block types are found, i.e. clusters, bridges, sources, and sinks.•Subject categories’ power to predict network structure is estimated.
论文关键词：Web of science,Citation networks,Evolution of science,Stochastic block model
论文评审过程：Received 2 May 2017, Revised 30 May 2018, Accepted 30 May 2018, Available online 6 July 2018, Version of Record 6 July 2018.
论文官网地址：https://doi.org/10.1016/j.joi.2018.05.004
