Analyzing Real-World Networks in Wolfram Language

Поділитися
Вставка
  • Опубліковано 25 сер 2024
  • During the session we will explore a range of graph theory techniques that can extract insights from network data. Using examples from social networks, we will find the most influential people and uncover hidden sub-communities. We will also compute the maximum flow of a railway network and discover its vulnerabilities.
    #WolframLanguage #DataAnalysis #GraphTheory #DataScience
    Stay up-to-date with our WolframU events.
    Wolfram Events Page: events.wolfram...
    UA-cam: / @wolframu
    LinkedIn: / wolfram-u
    Follow us on our official social media channels:
    X: / wolframresearch
    Facebook: / wolframresearch
    Instagram: / wolframresearch
    LinkedIn: / mycompany
    Contribute to the official Wolfram Community:
    community.wolf...

КОМЕНТАРІ • 2

  • @conanliptrott3063
    @conanliptrott3063 Місяць тому

    Nice work!

  • @_ARCATEC_
    @_ARCATEC_ Місяць тому

    The Transversing of Space and Form between MassEdge and HyperEdge:
    •Xe h(s z Fq(mE)Z(eM)Qf z S)He Y•
    Because there is no impermeable substance within the universe and spacetime is continuous, there is no true inner edge. That said, we recognize an outer MassEdge and a HyperEdge, which is 6th dimensional, going beyond 5th dimensional spacetime and 4th dimensional matter. These edges are ultimately the same edge, just as energy associated with mass and the energy that goes beyond both mass and space are, in fact, the same energy over a certain distance and dimensionality.