Master topics

  1. are some instructions, recommendations about MT available?
  2. size: number of pages, time spent
  3. minimal requirements: overview of a field, application to real data, own contribution
  4. help expected; single author paper, paper with advisor as co-author
  1. Author identification (WoS and eLib)
  2. Journal identification
  3. Analysis of selected field from WoS based on WoS topics
  4. Temporal networks
  5. Keywords descriptions from complete text
  6. Bikes networks
  7. Sport networks
  8. Clustering with relational constraint
  9. Identification using dictionaries
  10. Stemming and lemmatization
  11. US patents (collect till 2018)
  12. Conflicts networks
  13. Analysis of US counties
  14. Analysis of flights data; Full flights, delays
  15. Taxi networks
  16. Migrations
  17. Analysis of Paliamentary data
  18. Food and Recepicies
  19. Analysis of the structure of conferences: age, sex, nationality

HSEtools / R, Python, C, Julia HSEid ; HSEdict

data base of scientists: name, country, field(s), born (year, country, …)

vlado/notes/ruma.txt · Last modified: 2018/09/06 07:57 by vlado
 
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