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  • 标题:Entropy Measures of Human Communication Dynamics
  • 本地全文:下载
  • 作者:Marcin Kulisiewicz ; Przemysław Kazienko ; Boleslaw K. Szymanski
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2018
  • 卷号:8
  • 期号:1
  • 页码:15697
  • DOI:10.1038/s41598-018-32571-3
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:Human communication is commonly represented as a temporal social network, and evaluated in terms of its uniqueness. We propose a set of new entropy-based measures for human communication dynamics represented within the temporal social network as event sequences. Using real world datasets and random interaction series of different types we find that real human contact events always significantly differ from random ones. This human distinctiveness increases over time and by means of the proposed entropy measures, we can observe sociological processes that take place within dynamic communities.
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