8 Matching Annotations
  1. May 2020
  2. Apr 2020
  3. Feb 2019
    1. Network centralization

      degree.cent <- centr_degree(g, mode = "all") degree.cent$res degree.cent$centralization degree.cent$theoretical_max

  4. Feb 2017
    1. djacency matrix.

      We talked about matrix in last chapter. I personally think table 5.2 will be more informative and will create a more complicated graph on Gephi.

    1. network-level clustering coefficient of 0.24

      Is the formula they used to calculate this coefficient the same as on the link below? If so, I'd be curious to see how matricies can help make this calculation easier.


    2. Density is intricately linked to network size

      ...and then: here is the connection to the previous note.

    3. the pattern of relations among the network's actors.

      (Mental Note) The concept that I have to focus on...