Extraction of Topological Features from Communication Networks: Revision history

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24 December 2023

  • curprev 15:5015:50, 24 December 2023SatoshiNakamoto talk contribs 1,435 bytes 0 No edit summary undo
  • curprev 15:5015:50, 24 December 2023SatoshiNakamoto talk contribs 1,435 bytes +1,435 Created page with "Title: Extraction of Topological Features from Communication Networks Research Question: Can self-organizing feature maps be used to classify different types of communication network topologies? Methodology: The researchers compared three types of communication network topologies: regular, random, and scale-free. They represented these topologies using adjacency matrices and their eigenvalues. A self-organizing feature map neural network was used to classify the differ..."