Corpus ID: 218581321

Prediction of scientific collaborations through multiplex interaction networks

@article{Tuninetti2020PredictionOS,
  title={Prediction of scientific collaborations through multiplex interaction networks},
  author={M. Tuninetti and A. Aleta and D. Paolotti and Y. Moreno and M. Starnini},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.04432}
}
Link prediction algorithms can help to understand the structure and dynamics of scientific collaborations and the evolution of Science. However, available algorithms based on similarity between nodes of collaboration networks are bounded by the limited amount of links present in these networks. In this work, we reduce the latter intrinsic limitation by generalizing the Adamic-Adar method to multiplex networks composed by an arbitrary number of layers, that encode diverse forms of scientific… Expand

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