Video URL
A machine learning approach for identification of the most influential spreaders in networksA machine learning approach for identification of the most influential spreaders in networks
APA
(2021). A machine learning approach for identification of the most influential spreaders in networks. ICTP South American Institute for Fundamental Research. https://youtu.be/cvj4nMmcqYA?t=1659
MLA
A machine learning approach for identification of the most influential spreaders in networks. ICTP South American Institute for Fundamental Research, Oct. 20, 2021, https://youtu.be/cvj4nMmcqYA?t=1659
BibTex
@misc{ scivideos_SAIFR:2712,
doi = {},
url = {https://youtu.be/cvj4nMmcqYA?t=1659},
author = {},
keywords = {ICTP-SAIFR, IFT, UNESP},
language = {en},
title = {A machine learning approach for identification of the most influential spreaders in networks},
publisher = { ICTP South American Institute for Fundamental Research},
year = {2021},
month = {oct},
note = {SAIFR:2712 see, \url{https://scivideos.org/index.php/ictp-saifr/2712}}
}
Francisco Rodrigues
Talk numberSAIFR:2712
Source RepositoryICTP – SAIFR
Talk Type
Conference
Subject