====== Master topics ======


  - are some instructions, recommendations about MT available?
  - size: number of pages, time spent
  - minimal requirements: overview of a field, application to real data, own contribution
  - help expected; single author paper, paper with advisor as co-author
  - 
 
  - Author identification (WoS and eLib)
  - Journal identification
  - Analysis of selected field from WoS based on WoS topics
  - Temporal networks
  - Keywords descriptions from complete text
  - Bikes networks
  - Sport networks
  - Clustering with relational constraint
  - Identification using dictionaries
  - Stemming and lemmatization
  - US patents (collect till 2018)
  - Conflicts networks
  - Analysis of US counties
  - Analysis of flights data; [[https://www.forbes.com/sites/danielreed/2018/08/30/these-eye-popping-numbers-tell-us-how-shockingly-full-flights-really-are-these-days/#5f70d70a68cd|Full flights]], delays
  - Taxi networks
  - Migrations
  - Analysis of Paliamentary data
  - Food and Recepicies
  - 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, ...)