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文章基本信息

  • 标题:An Evolving Hypernetwork Model to Quantify Progress Potential of Emerging Research Topic
  • 本地全文:下载
  • 作者:Jia Liu ; Kewei Yang ; Jianguo Xu
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2018
  • 卷号:208
  • DOI:10.1051/matecconf/201820802002
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:There is considerable and growing interest in the emergence of research topics. However, current methods to detect the emergence are still problematic mainly due to information loss and aging effect. In this study, we show three intrinsic mechanisms including preferential attachment, exponentially growth and heterogeneous fitness values that decay with time. Depending on the input assumptions, all topics tend to follow a universal temporal pattern according to our model which results in strongly sufficiency to quantify progress potential.
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