Corpus ID: 209862313

Measuring Diversity in Heterogeneous Information Networks

@article{Morales2020MeasuringDI,
  title={Measuring Diversity in Heterogeneous Information Networks},
  author={Pedro Morales and Robin Lamarche-Perrin and Raphael Fournier-S'niehotta and Remy Poulain and Lionel Tabourier and Fabien Tarissan},
  journal={ArXiv},
  year={2020},
  volume={abs/2001.01296}
}
  • Pedro Morales, Robin Lamarche-Perrin, +3 authors Fabien Tarissan
  • Published 2020
  • Computer Science, Mathematics
  • ArXiv
  • Diversity is a concept relevant to numerous domains of research varying from ecology, to information theory, and to economics, to cite a few. It is a notion that is steadily gaining attention in the information retrieval, network analysis, and artificial neural networks communities. While the use of diversity measures in network-structured data counts a growing number of applications, no clear and comprehensive description is available for the different ways in which diversities can be measured… CONTINUE READING

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