An adaptive temporal-causal network model for social networks based on the homophily and more-becomes-more principle

Sven van den Beukel, Simon H. Goos, Jan Treur. An adaptive temporal-causal network model for social networks based on the homophily and more-becomes-more principle. Neurocomputing, 338:361-371, 2019. [doi]

@article{BeukelGT19,
  title = {An adaptive temporal-causal network model for social networks based on the homophily and more-becomes-more principle},
  author = {Sven van den Beukel and Simon H. Goos and Jan Treur},
  year = {2019},
  doi = {10.1016/j.neucom.2018.06.091},
  url = {https://doi.org/10.1016/j.neucom.2018.06.091},
  researchr = {https://researchr.org/publication/BeukelGT19},
  cites = {0},
  citedby = {0},
  journal = {Neurocomputing},
  volume = {338},
  pages = {361-371},
}