public object[] RawUids {get;}

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

      //var results = kg.ComputeCentrality(...);
      var count_entities = results.RawUids.Count();
var score_len = results.Scores.RawScores.Length;
//Find the max and min score for each measure w/out
//using LINQ or sorting
for (int m = 0; m < results.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 = results.Scores.RawScores[s];
    //max
    if (score > max_score)
    {
      max_score = score;
      max_uids.Clear();
      max_uids.Add(results.RawUids[i]);
    }
    else if (score == max_score)
    {
      //Collect all uids with the max score
      max_uids.Add(results.RawUids[i]);
    }
    //min
    if (score < min_score)
    {
      min_score = score;
      min_uids.Clear();
      min_uids.Add(results.RawUids[i]);
    }
    else if (score == min_score)
    {
      //Collect all uids with the min score
      min_uids.Add(results.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;

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

      var count_entities = results.RawUids.Count();
var score_len = results.Scores.RawScores.Length;
//Find the max and min score for each measure using LINQ
for (int m = 0; m < results.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 => results.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 => results.RawUids[i])
                   .ToList();

  //uids with the min score
  var min_uids = Enumerable.Range(0, count_entities)
                   .Where(i => scores[i] == min_score)
                   .Select(i => results.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 results = kg.ComputeCentrality(...);

      var count_entities = results.RawUids.Count();
var score_len = results.Scores.RawScores.Length;

//Find the top and bottom "n" scores for each measure
for (int m = 0; m < results.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 => results.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(results.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 uid = results.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 uid = results.RawUids[kg_score.Uid_idx];
    //...use it
  }
}