SAIFR:2712

A 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
Talk Type Conference
Subject