Network Structure from Rich but Noisy Data. Newman, M. E. J. 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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