Paper:**SIIMCO A forensic investigation tool for identifying the influential members of a criminal organization**.<tr/>
  
  In this system, the emails dataset is constructed as a social network. SIIMCO proposed the formula to calculate the weight of the vertexes in this social network.
  
  SIIMCO.png: It shows a formula which is proposed in SIIMCO.<tr/>
  
  SIIMCO.py: It is the code for rebuild the formula in SIIMCO.png.<tr/>
  
  In this system, a adjacency matrix with weights will be as the input. The value in the adjacency matrix represents the number of emails sent by individuals to the others.<tr/>

  Paper:**Detecting criminal organizations in mobile phone networks**.<tr/>
  
  In this system, the emails dataset is constructed as a social network. Then two strategies are employed as main the tools.<tr/>
  
  a.  Girvan and Newman algorithm: it is proposed in the paper *"Community structure in social and biological networks"*.<tr/>
  
  LogAnalysis-GN.py: It is the implement of Girvan and Newman algorithm. <tr/>
  
  A adjacency matrix with weights will be as the input, which represent the number of emails sent by individuals to the others.<tr/>
  
  createGraph.py: We provided a method to change the matrix into a gml file.

  b.  Fast Newman algorithm: it is proposed in the paper *" Fast algorithm for detecting community structure in networks"*.<tr/>
  
  LogAnalysis-FN.m: It is the implement of Fast Newman algorithm. <tr/>
  
  A adjacency matrix will be as the input, which represent the relationship between the individuals.<tr/>

  In this folder, we released some original codes. Since we have many experimental steps, we share the main function code here.<tr/>
  
  Paper:**NLP-Based Digital Forensic Investigation Platform for Online Communications**.<tr/>

  perplexity.py:It is the implementation algorithm for getting perplexity.<tr/>
  
  lda.py:It is the implementation algorithm for getting LDA model.<tr/>
  
  featuresel.py:It contains core codes of our method<tr/>