The goal of this thesis is to categorize and visualise collected information about the dark web. More specifically, the student will:
* Create a backend for the retrieval of data from the database and further modification of the information
* Research modern text categorization algorithms and apply the selected one to categorize the collected pages
* Reduce the number of nodes so that it is possible to display them in a comprehensive way, e.g. divide them into groups or subgroups
* Research ways how pages or groups can be grouped together and build a graph of links between groups or pages
* Create API endpoints for the acquisition of:
   * groups or pages
   * a particular page
   * page/group further information (such as all links or all group members)
* Provide a UI for viewing the data, the user should be able to:
   * filter pages either by their URLs or content
   * observe the graph as a whole and zoom in and out individual groups
   * observe the categories of groups or pages
   * view details of groups and pages, such as categories, links, and page URL

Literature:
Vincent Blondel, Jean-Loup Guillaume, Renaud Lambiotte, Etienne Lefebvre. Fast Unfolding of Communities in Large Networks
David M. Blei, Andrew Y. Ng, Michael I. Jordan. Latent Dirichlet Allocation