Network Structure from Rich but Noisy Data. Newman, M. E. J.
Network Structure from Rich but Noisy Data [link]Paper  doi  abstract   bibtex   
A technique allows optimal inference of the structure of a network when the available observed data are rich but noisy, incomplete or otherwise unreliable.
@article{newmanNetworkStructureRich2018,
  langid = {english},
  title = {Network Structure from Rich but Noisy Data},
  issn = {1745-2481},
  url = {https://www.nature.com/articles/s41567-018-0076-1},
  doi = {10.1038/s41567-018-0076-1},
  abstract = {A technique allows optimal inference of the structure of a network when the available observed data are rich but noisy, incomplete or otherwise unreliable.},
  journaltitle = {Nature Physics},
  urldate = {2018-05-19},
  date = {2018-03-12},
  pages = {1},
  author = {Newman, M. E. J.},
  file = {/home/dimitri/Nextcloud/Zotero/storage/F8AYYMEJ/Newman - 2018 - Network structure from rich but noisy data.pdf;/home/dimitri/Nextcloud/Zotero/storage/GK83I4XY/Newman - 2018 - Network structure from rich but noisy data.pdf;/home/dimitri/Nextcloud/Zotero/storage/MIZRK2YS/s41567-018-0076-1.html;/home/dimitri/Nextcloud/Zotero/storage/ST32RTSC/s41567-018-0076-1.html}
}
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