public PDFAnnotationNodeEditorControl(NodeControl node_control, PDFAnnotationNodeContent content)
{
InitializeComponent();
}
public StringNodeContentEditor(NodeControl node_control, StringNodeContent string_node_content)
{
InitializeComponent();
DataContext = string_node_content.Bindable;
}
public PDFTagNodeContentEditor(NodeControl node_control, PDFTagNodeContent pdf_tag_node_content)
{
InitializeComponent();
}
public PDFDocumentNodeEditorControl(NodeControl node_control, PDFDocumentNodeContent pdf_document_node_content)
{
InitializeComponent();
ObjDocumentMetadataControlsPanel.DataContext = pdf_document_node_content.PDFDocument.Bindable;
}
internal static void AddDocumentsInfluentialInDistribution(NodeControl node_control_, WebLibraryDetail web_library_detail, ExpeditionDataSource eds, float[] tags_distribution)
{
WPFDoEvents.AssertThisCodeIs_NOT_RunningInTheUIThread();
ASSERT.Test(eds != null);
Logging.Info("+Performing ThemedPageRank on {0} documents", eds.LDAAnalysis.NUM_DOCS);
// We have the distribution of the topic in tags_distribution
// Create an array for the document biases
// Fill the array using the dot product of the document distribution dotted with the topic distribution - then normalise
LDAAnalysis lda = eds.LDAAnalysis;
float[,] density_of_topics_in_docs = lda.DensityOfTopicsInDocuments;
double[] biases = new double[lda.NUM_DOCS];
for (int doc = 0; doc < lda.NUM_DOCS; ++doc)
{
double bias_num_squared = 0;
double bias_den_doc = 0;
double bias_den_tags = 0;
for (int topic = 0; topic < lda.NUM_TOPICS; ++topic)
{
bias_num_squared += density_of_topics_in_docs[doc, topic] * tags_distribution[topic];
bias_den_doc += density_of_topics_in_docs[doc, topic] * density_of_topics_in_docs[doc, topic];
bias_den_tags += tags_distribution[topic] * tags_distribution[topic];
}
biases[doc] = bias_num_squared / (Math.Sqrt(bias_den_doc) * Math.Sqrt(bias_den_tags));
}
// Then build up a matrix FROM each document -
List <int>[] references_outbound = new List <int> [lda.NUM_DOCS];
for (int doc = 0; doc < lda.NUM_DOCS; ++doc)
{
references_outbound[doc] = new List <int>();
string fingerprint = eds.docs[doc];
PDFDocument pdf_document = web_library_detail.Xlibrary.GetDocumentByFingerprint(fingerprint);
if (null == pdf_document)
{
Logging.Warn("ThemeExplorer::AddInInfluential: Cannot find document anymore for fingerprint {0}", fingerprint);
}
else
{
List <Citation> citations_outbound = pdf_document.PDFDocumentCitationManager.GetOutboundCitations();
foreach (Citation citation in citations_outbound)
{
string fingerprint_inbound = citation.fingerprint_inbound;
if (eds.docs_index.ContainsKey(fingerprint_inbound))
{
int doc_inbound = eds.docs_index[fingerprint_inbound];
references_outbound[doc].Add(doc_inbound);
}
}
}
}
// Space for the pageranks
double[] pageranks_current = new double[lda.NUM_DOCS];
double[] pageranks_next = new double[lda.NUM_DOCS];
// Initialise
for (int doc = 0; doc < lda.NUM_DOCS; ++doc)
{
pageranks_current[doc] = biases[doc];
}
// Iterate
int NUM_ITERATIONS = 20;
for (int iteration = 0; iteration < NUM_ITERATIONS; ++iteration)
{
Logging.Info("Performing ThemedPageRank iteration {0}", iteration);
// Spread out the activation pageranks
for (int doc = 0; doc < lda.NUM_DOCS; ++doc)
{
foreach (int doc_inbound in references_outbound[doc])
{
pageranks_next[doc_inbound] += biases[doc] / references_outbound[doc].Count;
}
}
// Mix the spread out pageranks with the initial bias pageranks
double ALPHA = 0.5;
for (int doc = 0; doc < lda.NUM_DOCS; ++doc)
{
pageranks_next[doc] = (1 - ALPHA) * pageranks_next[doc] + ALPHA * biases[doc];
}
// Normalise the next pageranks
double total = 0;
for (int doc = 0; doc < lda.NUM_DOCS; ++doc)
{
total += pageranks_next[doc];
}
if (0 < total)
{
for (int doc = 0; doc < lda.NUM_DOCS; ++doc)
{
pageranks_next[doc] /= total;
}
}
// Switch in the next pageranks because we will overwrite them
double[] pageranks_temp = pageranks_current;
pageranks_current = pageranks_next;
pageranks_next = pageranks_temp;
}
// Sort the pageranks, descending
int[] docs = new int[lda.NUM_DOCS];
for (int doc = 0; doc < lda.NUM_DOCS; ++doc)
{
docs[doc] = doc;
}
Array.Sort(pageranks_current, docs);
Array.Reverse(pageranks_current);
Array.Reverse(docs);
WPFDoEvents.InvokeInUIThread(() =>
{
// Make the nodes
for (int doc = 0; doc < 10 && doc < docs.Length; ++doc)
{
int doc_id = docs[doc];
string fingerprint = eds.docs[doc_id];
PDFDocument pdf_document = web_library_detail.Xlibrary.GetDocumentByFingerprint(fingerprint);
if (null == pdf_document)
{
Logging.Warn("Couldn't find similar document with fingerprint {0}", fingerprint);
}
else
{
PDFDocumentNodeContent content = new PDFDocumentNodeContent(pdf_document.Fingerprint, pdf_document.LibraryRef.Id);
NodeControlAddingByKeyboard.AddChildToNodeControl(node_control_, content, false);
}
}
});
}