/// <summary>
/// User topics walking graph for Gephi generation
/// </summary>
/// <param name="fileToSave"></param>
/// <param name="topicExclusions"></param>
/// <param name="scale">[0 .. 5) - more detailed, [5 .. ) - less detailed graph</param>
public void GenerateTopicWalkingGraph(string fileToSave, HashSet<int> topicExclusions, int scale = 5)
{
Console.WriteLine(String.Join("\n", topicMoves.OrderByDescending(it => it.Value)));
var topicConverter = new TopicConverter(Program.TopicsWordsFileName);
var graphEdges = topicMoves
.Where(it => it.Value > scale)
.Where(it => !topicExclusions.Contains(it.Key.Items[0]) && !topicExclusions.Contains(it.Key.Items[1]))
.Select(it => new { seq = it.Key, chance = GetGivenProbability(it.Key)})
.Select(row => new Edge{SourceId = row.seq.Items[0], DestinationId = row.seq.Items[1], Weight = row.chance})
.ToList();
var topics = graphEdges.Aggregate(new HashSet<int>(), (acc, e) =>
{
acc.Add(e.SourceId);
acc.Add(e.DestinationId);
return acc;
});
var graphVertices = topics.Select(t => new Vertex
{
Id = t,
Label = String.Join(", ", topicConverter.GetTopicWords(t, 10)),
Weight = topicDistribution[t]
});
var graph = new GraphBuilder(graphVertices, graphEdges);
graph.ExportToGVFormat(fileToSave, "TopikWalkingGraph", isOriented:true);
}
public void SaveTopicGraph(string fileToSave, int nWords)
{
var vertices = topicToWords.Select(t => new Vertex {Id = t.Key, Label = String.Join(", ", GetTopicWords(t.Key, nWords)), Weight = 1});
var edges = from e1 in topicToWords.Keys
from e2 in topicToWords.Keys
select new Edge {SourceId = e1, DestinationId = e2, Weight = GetWeight(topicToWords[e1], topicToWords[e2])};
var graph = new GraphBuilder(vertices, edges);
graph.ExportToGVFormat(fileToSave, "TopicGraph", isOriented:false);
}
