BibTeX record journals/ijon/BeukelGT19

download as .bib file

@article{DBLP:journals/ijon/BeukelGT19,
  author       = {Sven van den Beukel and
                  Simon H. Goos and
                  Jan Treur},
  title        = {An adaptive temporal-causal network model for social networks based
                  on the homophily and more-becomes-more principle},
  journal      = {Neurocomputing},
  volume       = {338},
  pages        = {361--371},
  year         = {2019},
  url          = {https://doi.org/10.1016/j.neucom.2018.06.091},
  doi          = {10.1016/J.NEUCOM.2018.06.091},
  timestamp    = {Fri, 27 Mar 2020 08:36:42 +0100},
  biburl       = {https://dblp.org/rec/journals/ijon/BeukelGT19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.