Project 3

A student is supposed to select and prepare his/her own network data, analyze them and interpret the results. The network should contain at least some (ten) thousands of links, and labeled nodes.

If you haven't your own data set look at links in Network data sources and To transform to Pajek. Some suggestions: Icon index, Amazon data, Konect, Snap, … The Panama papers (1, 2, 3), Microsoft academic graph (1, 2), …

Created networks, your own programs and a report save into a ZIP file.

Reservations

  1. Милёхина Антонина: Github data from Jeremy Corbett
  2. Gregory Khvatsky: Marvel Universe social network
  3. Ekaterina Melianova: Flickr network
  4. Lushnikova Polina: same link, but different dataset (http://wwwlovre.appspot.com/support.jsp)
  5. Artem Volgin: Graph Embedding with Self Clustering: Facebook
  6. Victoria Godunova: Route Views AS graphs (1997-1998) (6K)
  7. Dmitrii Kovalchuk: author collaboration network of Slovenian authors Informatica & Uporab. Inform. (up to 2013)
  8. Lada Litvinova: PGP web of trust
  9. Stepanov Grigoriy: Bitcoin OTC trust weighted signed network (https://snap.stanford.edu/data/soc-sign-bitcoin-otc.html)
  10. Maslov Ivan: https://snap.stanford.edu/data/email-Enron.html
  11. Mamatov Timur: Wikipedia RfA voting network (2013)
  12. Konstantin Gortsevskiy:



Students