For my doctoral research, I have a dataset of 8 teams, with 2 teams each from 4 organizations, and I am checking peer centrality in team advice networks using centrality. These are directed networks. I have created adjacency matrices and each matrix has 12 to 30 nodes.

Please advice:

  • Should I test each team network individually or club them to get organizational correlations? Should be there any other partition applied?
  • What should be my main considerations when working with visualization of small networks?
  • 3.I used the Yi-Fan Hu layout (output) for betweenness centrality related to general workplace advice when I ran the first trials. What should I be using for best rendering?

    4. What tests should I run and should I report it in writing?

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