Successfully reported this slideshow.
Upcoming SlideShare
×

# Studying Facebook via Data Extraction: a Netvizz tutorial at the Digital Methods Summer School 2013

• Full Name
Comment goes here.

Are you sure you want to Yes No

### Studying Facebook via Data Extraction: a Netvizz tutorial at the Digital Methods Summer School 2013

1. 1. Studying  Facebook  via  Data  Extrac6on  The  Netvizz  Applica6on  Bernhard  Rieder  Universiteit  van  Amsterdam  Mediastudies  Department
2. 2. Overview  Compared  to  TwiGer,  Facebook  is  diﬃcult  to  study  through  data  extrac6on  but  also  has  important  advantages:    ☉  complicated  API,  very  complex  and  opaque  privacy  regime,  constant  changes,  etc.  ☉  rich  and  detailed  data,  access  to  full  6melines,  etc.    Goal:  lower  the  threshold  for  working  with  quan6ta6ve  and  computa6onal  approaches,  thereby  fostering  transversal  thinking;  open  the  walled  garden.    Netvizz  is  a  Facebook  applica6on  that  exports  a  variety  of  data  ﬁles  in  common  formats  for  a  variety  of  sec6ons  of  the  Facebook  plaSorm.    Humanists  and  social  scien6sts  are  oUen  interested  in  descrip6ve  sta6s6cs  rather  than  models  or  advanced  metrics;  data  stays  close  to  the  medium.
3. 3. Two  kinds  of  quan6ta6ve  analysis  Sta\$s\$cs    Observed:  objects  and  proper\$es  Inferred:  rela\$ons  Data  representa6on:  the  table        Visual  representa6on:  quan\$ty  charts          Grouping:  class  (similar  proper\$es)  Graph-­‐theory    Observed:  objects  and  rela\$ons  Inferred:  structure  Data  representa6on:  the  matrix        Visual  representa6on:  network  diagrams          Grouping:  clique  (dense  rela\$ons)
4. 4. Personal  network  Nodes:  users  /  links:  "friendship"  Good  star6ng  point  for  learning  network  analysis
5. 5. Personal  "like"  network  Nodes:  users  &  liked  objects  ("bipar6te  graphe")    /  links:  "liking"  A  post-­‐demographical  view  on  social  rela6ons  and  culture
6. 6. FB  group  "Islam  is  dangerous"  Friendship  network,  color:  betweenness  centrality  2.339  members  Average  degree  of  39.69  81.7%  have  at  least  one  friend  in  the  group  55.4%  ﬁve  or  more  37.2%  have  20  or  more  founder  and  admin  has  609  friends
7. 7. FB  group  "Islam  is  dangerous"  Friendship  network,  color:  Interface  language  en_us,  de,  en_uk,  it  dominate
8. 8. Mapping  European  Extremism  (aggregate  groups)  Friendship  rela6ons  of  18  extreme-­‐right  groups  User  names  are  unique!  (gephi  can  fuse  networks)
9. 9. FB  group  "Islam  is  dangerous"  Interac6on  network
10. 10. Facebook  Page  "ElShaheeed",  June  2010  –  June  2011,  (Poell  /  Rieder,  forthcoming)  7K  posts,  700K  users,  3.6M  comments,  10M  likes,  work  in  progress!
11. 11. New  media  plaSorms  funnel  prac6ces  into  reduced  and  largely  formal  "grammars  of  ac6on"  (Agre  1989);  data  is  therefore  very  clean,  very  complete,  and  very  detailed.    Can  be  imported  with  great  ease  into  standard  packages  for  sta6s6cal  (e.g.  R,  Excel,  Rapidminer)  or  network  analysis  (e.g.  gephi,  Pajek).  Data  and  tools
12. 12. FB  Page  "ElShaheeed",  June  2010  –  June  2011  comment  6mescaGer
13. 13. FB  Page  "ElShaheeed",  June  2010  –  June  2011  comment  6mescaGer,  log10  y  scale
14. 14. FB  "ElShaheeed",  June  2010  –  June  2011  comment  6mescaGer,  log10  y  scale,  likes  on  comments
15. 15. FB  page  "Stop  the  Islamiza6on  of  the  World"  Number  of  posts  and  reac6ons
16. 16. Facebook  Page  "ElShaheeed",  June  2010  –  June  2011:  scaGerplot  comments  /  likes,  per  post  type
17. 17. FB  page  "Stop  the  Islamiza6on  of  the  World"
18. 18. FB  page  "Educate  children  about  the  evils  of  Islam"  1.586  likes,  253  users  commen6ng  or  liking  on  last  200  posts
19. 19. FB  page  "Educate  children  about  the  evils  of  Islam"  Links  have  more  comments,  photos  more  likes.
20. 20. FB  pages  of  New  York  Times  and  Wall  Street  Journal  (aggregate  pages)  30  latest  posts,  27K  users  liking  or  commen6ng  (user  ids  are  unique!)
21. 21. Facebook  page  like  network  Seed:  Stop  Islamiza6on  of  the  World  Crawl  depth:  2
22. 22. Studying  extremism  on  Facebook  Some  examples  from  the  Digital  Methods  Ini6a6ves  data  sprint  on  an6-­‐Islamism  and  right  wing  extremism.    Four  aspects  of  SNS  we  wanted  to  study:  ☉  Coordina6on,  social  networking,  and  social  support  for  extremists  ☉  Broadcas6ng  and  mobiliza6on  channel  for  extremists  ☉  Expressions  from  diﬀuse  publics  ☉  Debate  and  encounter  around  Islam
23. 23. Conclusions  Netvizz  exports  a  variety  of  data  ﬁles  in  common  formats  for  a  variety  of  sec6ons  of  the  Facebook  plaSorm  and  can  be  used  in  many  diﬀerent  research  designs.      Netvizz  aGempts  to  lower  the  threshold  for  quan6ta6ve  work  on  Facebook,  allowing  for  closer  connec6ons  with  qualita6ve,  interpreta6ve  thinking.    Easy  access  to  visualiza6on  techniques  is  crucial  for  this  approach.
24. 24. Thank  You  hGps://apps.facebook.com/netvizz/    rieder@uva.nl  hGps://www.digitalmethods.net  hGp://thepoli6csofsystems.net  "Far  be@er  an  approximate  answer  to  the  right  ques\$on,  which  is  oBen  vague,  than  an  exact  answer  to  the  wrong  ques\$on,  which  can  always  be  made  precise.  Data  analysis  must  progress  by  approximate  answers,  at  best,  since  its  knowledge  of  what  the  problem  really  is  will  at  best  be  approximate."  (Tukey  1962)