A New Multilayer Network Construction via Tensor Learning

@article{Brandi2020ANM,
  title={A New Multilayer Network Construction via Tensor Learning},
  author={Giuseppe Brandi and Tiziana di Matteo},
  journal={Computational Science – ICCS 2020},
  year={2020},
  volume={12142},
  pages={148 - 154}
}
  • G. Brandi, T. D. Matteo
  • Published 2020
  • Computer Science, Economics, Mathematics
  • Computational Science – ICCS 2020
Multilayer networks proved to be suitable in extracting and providing dependency information of different complex systems. The construction of these networks is difficult and is mostly done with a static approach, neglecting time delayed interdependences. Tensors are objects that naturally represent multilayer networks and in this paper, we propose a new methodology based on Tucker tensor autoregression in order to build a multilayer network directly from data. This methodology captures within… Expand
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