public class KnowledgeGraphCentralityScores 

{
  //using ArcGIS.Core.Data.Knowledge.Extensions;

  await QueuedTask.Run(() =>
  {
    //using(var kg = ....) {
    //use defaults...
    var kg_config = new CIMKnowledgeGraphCentralityConfiguration();

    //include all entities from the kg in the subgraph
    //(no filters)
    var kg_subgraph = new CIMKnowledgeGraphSubGraph();

    //include all centrality measures
    CentralityMeasure[] measures = [
      CentralityMeasure.Degree,
CentralityMeasure.InDegree,
CentralityMeasure.OutDegree,
CentralityMeasure.Coreness,
CentralityMeasure.Betweenness,
CentralityMeasure.Closeness,
CentralityMeasure.Harmonic,
CentralityMeasure.Eigenvector,
CentralityMeasure.PageRank
    ];

    //compute centrality
    var kg_centrality_results = kg.ComputeCentrality(
                                      kg_config, kg_subgraph, measures);
    //output results - results include measure scores for all entities
    //in all types in the subgraph
    System.Diagnostics.Debug.WriteLine("Centrality Results:");
    foreach (var named_type in kg_centrality_results.NamedTypes)
    {
      System.Diagnostics.Debug.WriteLine($"Named type: {named_type}");
      foreach (var uid in kg_centrality_results.GetUidsForNamedType(named_type))
      {
        //measure scores include one score per measure in the input measures array
        var scores = kg_centrality_results.Scores[uid];
        StringBuilder sb = new StringBuilder();
        var sep = "";
        //or use kg_centrality_results.Scores.Measures.Length
        //kg_centrality_results.Scores.Measures is there for convenience
        for (int m = 0; m < measures.Length; m++)
        {
          sb.Append($"{sep}{measures[m].ToString()}: {scores[m]}");
          sep = ", ";
        }
        System.Diagnostics.Debug.WriteLine($"  '{uid}' {sb.ToString()}");
      }
    }
  });
}

{
  //using ArcGIS.Core.Data.Knowledge.Extensions;

  await QueuedTask.Run(() =>
  {
    ///var kgConfig = ...;
    //var kgSubgraph = ...;
    //var measures = ...;
    //using(var kg = ...) {
    var results = kg.ComputeCentrality(kgConfig, kgSubgraph, measures);
    //loop through each (entity) named type (relates are never included in results)
    foreach (var named_type in results.NamedTypes)
    {
      //Get the entity uids for each named type
      foreach (var uid in results.GetUidsForNamedType(named_type))
      {
        //Get the scores for each uid via the [] indexer on "Scores"
        var scores = results.Scores[uid];
        //There is one score per measure in the input measures array
        //Note: results.Scores.Measures is also provided for convenience...
        //for (int m = 0; m < results.Scores.Measures.Length; m++)
        for (int m = 0; m < measures.Length; m++)
        {
          var score = scores[m];//score for the given measure
                                //TODO - use measure score

        }
      }
    }
  });
}

{
  //using ArcGIS.Core.Data.Knowledge.Extensions;

  await QueuedTask.Run(() =>
  {
    //using(var kg = ...) {
    //var kgResults = kg.ComputeCentrality(...);
    var count_entities = kgResults.RawUids.Count();
    var score_len = kgResults.Scores.RawScores.Length;
    //Find the max and min score for each measure w/out
    //using LINQ or sorting
    for (int m = 0; m < kgResults.Scores.Measures.Length; m++)
    {
      //index into the scores array for the current measure
      var start_idx = count_entities * m;
      var end_idx = start_idx + count_entities;

      double max_score = double.MinValue;
      double min_score = double.MaxValue;
      List<object> max_uids = new List<object>();
      List<object> min_uids = new List<object>();

      for (int i = 0, s = start_idx; s < end_idx; i++, s++)
      {
        var score = kgResults.Scores.RawScores[s];
        //max
        if (score > max_score)
        {
          max_score = score;
          max_uids.Clear();
          max_uids.Add(kgResults.RawUids[i]);
        }
        else if (score == max_score)
        {
          //Collect all uids with the max score
          max_uids.Add(kgResults.RawUids[i]);
        }
        //min
        if (score < min_score)
        {
          min_score = score;
          min_uids.Clear();
          min_uids.Add(kgResults.RawUids[i]);
        }
        else if (score == min_score)
        {
          //Collect all uids with the min score
          min_uids.Add(kgResults.RawUids[i]);
        }
      }
      //TODO - use the max and min scores and uids for
      //the current measure "measures[m]"
      //max_score, max_uids
      //min_score, min_uids

    }
  });
}

{
  //using ArcGIS.Core.Data.Knowledge.Extensions;

  await QueuedTask.Run(() =>
  {
    //using(var kg = ...) {
    //var kgResults = kg.ComputeCentrality(...);

    var count_entities = kgResults.RawUids.Count();
    var score_len = kgResults.Scores.RawScores.Length;
    //Find the max and min score for each measure using LINQ
    for (int m = 0; m < kgResults.Scores.Measures.Length; m++)
    {
      //index into the scores array for the current measure
      var start_idx = count_entities * m;
      var end_idx = start_idx + count_entities;

      //Get the scores for the specified measure
      var scores = Enumerable.Range(start_idx, count_entities)
        .Select(i => kgResults.Scores.RawScores[i]).ToArray();

      //max + min
      var max_score = scores.Max();
      var min_score = scores.Min();

      //uids with the max score
      var max_uids = Enumerable.Range(0, count_entities)
      .Where(i => scores[i] == max_score)
                       .Select(i => kgResults.RawUids[i])
                       .ToList();

      //uids with the min score
      var min_uids = Enumerable.Range(0, count_entities)
                       .Where(i => scores[i] == min_score)
                       .Select(i => kgResults.RawUids[i])
                       .ToList();
      //TODO - use the max and min scores and uids for
      //the current measure "measures[m]"
      //max_score, max_uids
      //min_score, min_uids
    }
  });
}

{
  //using ArcGIS.Core.Data.Knowledge.Extensions;

  //Note: logic uses the following custom class:
  //
  //public class KG_Score_Value {
  //   public KG_Score_Value(double score, int uid_idx) {
  //      Score = score;
  //      Uid_idx = uid_idx;
  //   }
  //
  //   public double Score { get; set; }
  //   public int Uid_idx { get; set; }
  //}

  //var kgResults = kg.ComputeCentrality(...);

  var count_entities = kgResults.RawUids.Count();
  var score_len = kgResults.Scores.RawScores.Length;
  int n = 100;

  //Find the top and bottom "n" scores for each measure
  for (int m = 0; m < kgResults.Scores.Measures.Length; m++)
  {
    //index into the scores array for the current measure
    var start_idx = count_entities * m;
    var end_idx = start_idx + count_entities;

    //Get the scores for the specified measure
    var scores = Enumerable.Range(start_idx, count_entities)
      .Select(i => kgResults.Scores.RawScores[i]).ToArray();

    //use "KG_Score_Value" to hold the score and uid index
    var uid_idx = 0;
    var kg_score_vals = Enumerable.Range(start_idx, count_entities)
           .Select(i => new KG_Score_Value(kgResults.Scores.RawScores[i], uid_idx++))
           .OrderByDescending(k => k.Score)
           .ToArray();

    //get up to the top or bottom N scores
    if (n > kg_score_vals.Length)
      n = kg_score_vals.Length;

    //get the top N scores and uids - largest first
    var top_n = kg_score_vals.Take(n).ToList();

    //get the bottom N scores and uids - smallest first
    var bottom_n = kg_score_vals.TakeLast(n)
                      .Reverse().ToList();

    foreach (var kg_score in top_n)
    {
      //TODO - use top "n" scores
      var score = kg_score.Score;
      var uid1 = kgResults.RawUids[kg_score.Uid_idx];
      //...use it
    }

    foreach (var kg_score in bottom_n)
    {
      //TODO - use bottom "n" scores
      var score = kg_score.Score;
      var uid1 = kgResults.RawUids[kg_score.Uid_idx];
      //...use it
    }
  }
}