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Pubmed dataset visualisation pecha kucha

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Pubmed dataset visualisation
pecha kucha for the WebScience 2014 conference

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Pubmed dataset visualisation pecha kucha

  1. 1. PUBMED  dataset  visualisa1on   George  Gkotsis   Knowledge  Media  Ins1tute   The  Open  University   21.5  million  cita1ons  10.8  million  authors  
  2. 2. Visualisa1on   •  XKCD-style •  Infographic-­‐style   Ver1cal  scrolling  
  3. 3. Data  analysis   1.  Co-­‐authorship  network   2.  Academic  reten1on  and  produc1vity   3.  Terminology  &  evolu1on  
  4. 4. 1.  Co-­‐authorship  network   •  For  each  year,  a  co-­‐authorship  graph  is   constructed   •  Visualise  graph  proper1es:   – Nodes   – Edges   – Clustering  coefficient   – Entropy:   Rowe  &  Strohmaier,  WWW2014  
  5. 5. 1.  Co-­‐authorship  network  (cont.)  
  6. 6. 2.  Academic  throughput  and  reten1on   •  Researcher  profile   – 4  aYributes:   [1]  Year  of  first  publica1on   [2]  Year  of  last  publica1on   [3]  Number  of  publica1ons   [4]  Dura1on  of  research  ac1vity  ([2]-­‐[1])   1966  -­‐  2001  
  7. 7. 2.  Academic  throughput  and  reten1on   (cont.)  
  8. 8. 3.  Terminology  &  evolu1on   w:  1-­‐gram  word-­‐term   M:  5-­‐year  ;tles’  corpus  
  9. 9. 3.  Terminology  &  evolu1on  (cont.)  
  10. 10. Development   •  Pandas   Data  analysis  and  manipula1on   •  NetworkX   Network  analysis   •  NLTK   Natural  Language  processing   •  Matplotlib   Plobng  

Pubmed dataset visualisation pecha kucha for the WebScience 2014 conference

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