Graph Theory Blink 2.2 (degree centrality and eigenvector centrality)

Поделиться
HTML-код
  • Опубликовано: 31 янв 2025

Комментарии • 7

  • @fatvvsfatvvs5642
    @fatvvsfatvvs5642 2 года назад +1

    The best explanation of eigenvector centrality I ever seen

    • @basiralab
      @basiralab  2 года назад +1

      Happy to know that! Thanks for the comment.

  • @jimk.6379
    @jimk.6379 4 года назад +1

    Could it be that right and left eigenvector centrality got mixed up? I read in the literature that right eigenvector centrality corresponds to A-Transpose, thus to out-degree. Best Jan

    • @basiralab
      @basiralab  4 года назад +1

      Thanks for the comment Jan! These are the notations used in the following textbook:
      Bullmore, Edward T._ Fornito, Alex_ Zalesky, Andrew - Fundamentals of Brain Network Analysis-Academic Press,Elsevier (2016)

  • @erenarkangil4243
    @erenarkangil4243 4 года назад +1

    Adjacency matrix was quite confusing since it Aij is used in non-traditional way..

    • @basiralab
      @basiralab  4 года назад

      This is also a valid mathematical notation to denote an element (i,j) in an adjacency matrix A based on the mentioned references as well as the listed textbook.

    • @derpalot
      @derpalot Год назад

      @@basiralab I think it was meant that in Aij the "i" should denote row and "j" the column. In video they are reversed aren't they?