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TEMPORAL VARIATIONS IN
NETWORKED USER ENGAGEMENT
TNETS Satellite - ECCS
In	
  collabora*on	
  with:	
  
Mounia	
  Lalmas,	
  	
  
Ricardo	
  Baeza-­‐Yates	
  
Jane%e	
  Lehmann	
  
Outline
1.  What	
  is	
  user	
  engagement?	
  
Overview,	
  defini,ons,	
  examples	
  
	
  
	
  
2.  Why	
  should	
  we	
  combine	
  it	
  with	
  network	
  analysis?	
  
Networked	
  user	
  engagement	
  
Defini,on	
  of	
  traffic	
  networks	
  
	
  
	
  
3.  Do	
  we	
  observe	
  temporal	
  varia>ons?	
  
Metrics	
  and	
  examples	
  
	
  
Lights	
  on	
  by	
  JC*+A!	
  
Engagement in Wikipedia
JaneHe	
  Lehmann	
   Mo,va,on	
   3	
  
The	
  ques>on:	
  	
  
How	
  engaged	
  	
  
are	
  users	
  on	
  	
  
Wikipedia?	
  
Engagement in Wikipedia
JaneHe	
  Lehmann	
   Mo,va,on	
   4	
  
How	
  engaged	
  are	
  users	
  on	
  Wikipedia?	
  
Web	
  traffic	
  reports:	
  Google	
  Analy>cs,	
  Alexa.com,	
  …	
  
Popularity 	
  (#Users)	
  
Ac>vity 	
  (DwellTime)	
  
Loyalty 	
  (Ac,veDays)	
  
Can	
  we	
  do	
  
more?	
  
leP	
  by	
  	
  [	
  embr	
  ]	
  	
  
The Idea
Yes,	
  we	
  can…	
  
Users	
  in	
  Wikipedia	
  perform	
  different	
  types	
  of	
  ac*ons	
  
JaneHe	
  Lehmann	
   Mo,va,on	
   6	
  
Visi,ng	
  the	
  
main	
  page	
  
Reading	
  an	
  
ar,cle	
  
Looking	
  at	
  
the	
  revision	
  
history	
  
Visi,ng	
  
categories	
  
Visi,ng	
  
portals	
  
Expor,ng	
  	
  
books	
  
Talking	
  
about	
  an	
  
ar,cle	
  
Par,cipa,ng	
  	
  
in	
  the	
  	
  
community	
  
Edi,ng	
  	
  
ar,cles	
  
Actions in Wikipedia
Our	
  assump>on	
  
	
  
Ø  Engaged	
  users	
  perform	
  different	
  types	
  of	
  ac,ons	
  
	
  (reading,	
  edi,ng,	
  par,cipa,ng	
  in	
  the	
  community)	
  
Ø  If	
  Wikipedia	
  is	
  engaging,	
  there	
  is	
  traffic	
  between	
  ac,ons	
  
JaneHe	
  Lehmann	
   Mo,va,on	
   7	
  
182-­‐365+1	
  by	
  meaganmakes	
  
From	
  site	
  to	
  	
  
network	
  	
  
engagement	
  
Action Networks
Browsing	
  data	
  sample	
  
(Sep	
  2011	
  –	
  Oct	
  2012)	
  
	
  
•  48	
  ac,ons	
  
•  2.3M	
  pages	
  
•  1.3M	
  user	
  
•  25.4M	
  clicks	
  
JaneHe	
  Lehmann	
   Mo,va,on	
   9	
  
portal	
  
main	
  page	
  
donate	
   ar,cle	
  
talk	
  
track	
  
community	
  
history	
  
meta	
  page	
  
edit	
  
sta,s,cs	
  
export	
  
categories	
  
login	
  
search	
   user	
  G=(V,	
  E,	
  λ)	
  
V:	
   Ac,ons	
  on	
  Wikipedia	
  
E:	
   Naviga,ons	
  between	
  ac,ons	
  
λ(e):	
   Traffic	
  volume	
  (#Clicks)	
  
Network-level Metrics
Network-­‐level	
  metrics	
  
Total	
  traffic	
  and	
  traffic	
  recircula*on	
  
JaneHe	
  Lehmann	
   Networked	
  User	
  Engagement	
   10	
  
TotalNodeTraffic	
  
	
  Total	
  number	
  of	
  users	
  on	
  Wikipedia	
  ac*ons	
  
	
  
TotalEdgeTraffic	
  
	
  Total	
  number	
  of	
  users	
  naviga*ng	
  between	
  Wikipedia	
  ac*ons	
  
	
  
TotalTrafficRecircula,on	
  	
  
	
  Propor*on	
  of	
  traffic	
  on	
  the	
  network	
  with	
  respect	
  
	
  to	
  the	
  maximum	
  possible	
  
	
  (TotalEdgeTraffic	
  /	
  TotalNodeTraffic)	
  
	
  
20	
  user	
  
5	
  user	
  
10	
  user	
  
30	
  user	
  
TotalNodeTraffic
TotalTrafficRecirculation
Sep 2011 – Oct 2012
Networks over Time
Monthly	
  traffic	
  	
  
JaneHe	
  Lehmann	
   Networked	
  User	
  Engagement	
   11	
  
•  General	
  trend	
  
»  Node	
  traffic	
  increases	
  
»  Traffic	
  recircula,on	
  decreases	
  
•  Dona,on	
  campaign	
  (Nov	
  –	
  Dec	
  2011)	
  
»  Increase	
  of	
  node	
  traffic	
  
»  Decrease	
  of	
  traffic	
  recircula,on	
  
•  SOPA/PIPA	
  protest	
  (Jan	
  2012)	
  
»  Peak	
  of	
  node	
  traffic	
  and	
  traffic	
  
recircula,on	
  
Opposite	
  trend	
  of	
  node	
  traffic	
  and	
  traffic	
  recircula7on.	
  
SOPA/PIPA	
  
Dona,on	
  
TotalNodeTraffic
Weekdays Weekend TotalTrafficRecirculation
March - April 2012
Networks over Time
Weekdays	
  and	
  Weekends	
  
JaneHe	
  Lehmann	
   Networked	
  User	
  Engagement	
   12	
  
•  Traffic	
  differs	
  between	
  weekdays	
  
and	
  weekends	
  
•  Traffic	
  is	
  higher	
  over	
  the	
  weekend,	
  
but	
  the	
  traffic	
  recircula,on	
  is	
  lower	
  
There	
  is	
  more	
  traffic	
  during	
  the	
  week,	
  but	
  users	
  are	
  more	
  engaged	
  on	
  weekends.	
  
NodeTraffic	
  
	
  Traffic	
  on	
  node	
  =	
  Number	
  of	
  users	
  	
  
	
  that	
  perform	
  this	
  ac*ons	
  
	
  
	
  
NodeTrafficRC	
  	
  
	
  Propor*on	
  of	
  out-­‐going	
  traffic	
  with	
  	
  
	
  respect	
  to	
  the	
  maximum	
  possible	
  
DiffNodeTrafficT	
  
	
  	
  
	
  
	
  
	
  
DiffNodeTrafficRCT 	
  	
  
	
  
Node-level Metrics
Node-­‐level	
  metrics	
  
Node	
  traffic	
  and	
  traffic	
  recircula*on	
  
JaneHe	
  Lehmann	
   Networked	
  User	
  Engagement	
   13	
  
10	
  user	
  
5	
  user	
  
NodeTrafficT
NodeTrafficT−1
NodeTrafficRCT
NodeTrafficRCT−1
sta,c	
   dynamic	
  
nodeTraffic
TrafficRecirculation
Sep 2011 – Oct 2012
Donation Campaign
How	
  did	
  the	
  dona>on	
  campaign	
  affect	
  the	
  engagement	
  in	
  Wikipedia?	
  
JaneHe	
  Lehmann	
   Networked	
  User	
  Engagement	
   14	
  
•  We	
  calculated	
  the	
  change	
  of:	
  
»  Node	
  traffic	
  (DiffNodeTraffic)	
  
»  Outgoing	
  node	
  traffic	
  (DiffNodeTrafficRC)	
  
	
  
•  October,	
  November,	
  December	
  2011	
  
•  We	
  iden,fied	
  nodes	
  (ac,ons)	
  that	
  have	
  received	
  an	
  
high	
  increase	
  in	
  traffic	
  and	
  out-­‐going	
  traffic	
  
Dona,on	
  campaign	
  (Nov	
  –	
  Dec)	
  
Donation Campaign
JaneHe	
  Lehmann	
   Networked	
  User	
  Engagement	
   15	
  
Oct-11 Nov-11 Dec-11
track 1% 0% 7%
account_login 2% 0% 7%
account_creation 0% 18% -6%
mainpage 3% 0% 4%
donate 0% 23% 4%
metapage 2% 11% 18%
wikimedia 0% 7% 2%
participation 0% 27% 0%
style_guides 4% 0% 12%
user 0% 0% 22%
wikipedia -5% 5% -2%
wizard 0% 19% 0%
Oct-11 Nov-11 Dec-11
search_detail 3% 49% 7%
account_creation -7% 27% 26%
article 2% 31% 29%
category 7% 36% 18%
file -2% 36% 31%
donate 0% 38,733% 15%
metapage 1% 17% 28%
wikimedia 100% 6,45% 35%
participation -9% 59% -5%
style_guides 5% 14% 30%
user 0% 39% 37%
wizard 0% 42% 21%
Increase	
  of	
  node	
  traffic	
   Increase	
  of	
  outgoing	
  node	
  traffic	
  
Donation Campaign
JaneHe	
  Lehmann	
   Networked	
  User	
  Engagement	
   16	
  
Ø  Less	
  changes	
  before	
  the	
  dona,on	
  campaign	
  starts	
  
Increase	
  of	
  node	
  traffic	
   Increase	
  of	
  outgoing	
  node	
  traffic	
  
Oct-11 Nov-11 Dec-11
track 1% 0% 7%
account_login 2% 0% 7%
account_creation 0% 18% -6%
mainpage 3% 0% 4%
donate 0% 23% 4%
metapage 2% 11% 18%
wikimedia 0% 7% 2%
participation 0% 27% 0%
style_guides 4% 0% 12%
user 0% 0% 22%
wikipedia -5% 5% -2%
wizard 0% 19% 0%
Oct-11 Nov-11 Dec-11
search_detail 3% 49% 7%
account_creation -7% 27% 26%
article 2% 31% 29%
category 7% 36% 18%
file -2% 36% 31%
donate 0% 38,733% 15%
metapage 1% 17% 28%
wikimedia 100% 6,45% 35%
participation -9% 59% -5%
style_guides 5% 14% 30%
user 0% 39% 37%
wizard 0% 42% 21%
Donation Campaign
JaneHe	
  Lehmann	
   Networked	
  User	
  Engagement	
   17	
  
Ø  Many	
  users	
  donate	
  money	
  
Increase	
  of	
  node	
  traffic	
   Increase	
  of	
  outgoing	
  node	
  traffic	
  
Oct-11 Nov-11 Dec-11
track 1% 0% 7%
account_login 2% 0% 7%
account_creation 0% 18% -6%
mainpage 3% 0% 4%
donate 0% 23% 4%
metapage 2% 11% 18%
wikimedia 0% 7% 2%
participation 0% 27% 0%
style_guides 4% 0% 12%
user 0% 0% 22%
wikipedia -5% 5% -2%
wizard 0% 19% 0%
Oct-11 Nov-11 Dec-11
search_detail 3% 49% 7%
account_creation -7% 27% 26%
article 2% 31% 29%
category 7% 36% 18%
file -2% 36% 31%
donate 0% 38,733% 15%
metapage 1% 17% 28%
wikimedia 100% 6,45% 35%
participation -9% 59% -5%
style_guides 5% 14% 30%
user 0% 39% 37%
wizard 0% 42% 21%
Donation Campaign
JaneHe	
  Lehmann	
   Networked	
  User	
  Engagement	
   18	
  
Ø  Users	
  inform	
  themselves	
  about	
  the	
  dona,on	
  progress	
  
(wikimediafounda,on.org),	
  but	
  do	
  not	
  return	
  to	
  Wikipedia	
  
Increase	
  of	
  node	
  traffic	
   Increase	
  of	
  outgoing	
  node	
  traffic	
  
Oct-11 Nov-11 Dec-11
track 1% 0% 7%
account_login 2% 0% 7%
account_creation 0% 18% -6%
mainpage 3% 0% 4%
donate 0% 23% 4%
metapage 2% 11% 18%
wikimedia 0% 7% 2%
participation 0% 27% 0%
style_guides 4% 0% 12%
user 0% 0% 22%
wikipedia -5% 5% -2%
wizard 0% 19% 0%
Oct-11 Nov-11 Dec-11
search_detail 3% 49% 7%
account_creation -7% 27% 26%
article 2% 31% 29%
category 7% 36% 18%
file -2% 36% 31%
donate 0% 38,733% 15%
metapage 1% 17% 28%
wikimedia 100% 6,45% 35%
participation -9% 59% -5%
style_guides 5% 14% 30%
user 0% 39% 37%
wizard 0% 42% 21%
Donation Campaign
JaneHe	
  Lehmann	
   Networked	
  User	
  Engagement	
   19	
  
Ø  More	
  users	
  go	
  to	
  the	
  “Account	
  crea,on”	
  page	
  and	
  also	
  create	
  accounts	
  
Increase	
  of	
  node	
  traffic	
   Increase	
  of	
  outgoing	
  node	
  traffic	
  
Oct-11 Nov-11 Dec-11
track 1% 0% 7%
account_login 2% 0% 7%
account_creation 0% 18% -6%
mainpage 3% 0% 4%
donate 0% 23% 4%
metapage 2% 11% 18%
wikimedia 0% 7% 2%
participation 0% 27% 0%
style_guides 4% 0% 12%
user 0% 0% 22%
wikipedia -5% 5% -2%
wizard 0% 19% 0%
Oct-11 Nov-11 Dec-11
search_detail 3% 49% 7%
account_creation -7% 27% 26%
article 2% 31% 29%
category 7% 36% 18%
file -2% 36% 31%
donate 0% 38,733% 15%
metapage 1% 17% 28%
wikimedia 100% 6,45% 35%
participation -9% 59% -5%
style_guides 5% 14% 30%
user 0% 39% 37%
wizard 0% 42% 21%
Donation Campaign
JaneHe	
  Lehmann	
   Networked	
  User	
  Engagement	
   20	
  
Ø  More	
  users	
  go	
  to	
  community	
  pages	
  (e.g.	
  the	
  community	
  portal,	
  reference	
  desk,	
  
goings-­‐on)	
  
Increase	
  of	
  node	
  traffic	
   Increase	
  of	
  outgoing	
  node	
  traffic	
  
Oct-11 Nov-11 Dec-11
track 1% 0% 7%
account_login 2% 0% 7%
account_creation 0% 18% -6%
mainpage 3% 0% 4%
donate 0% 23% 4%
metapage 2% 11% 18%
wikimedia 0% 7% 2%
participation 0% 27% 0%
style_guides 4% 0% 12%
user 0% 0% 22%
wikipedia -5% 5% -2%
wizard 0% 19% 0%
Oct-11 Nov-11 Dec-11
search_detail 3% 49% 7%
account_creation -7% 27% 26%
article 2% 31% 29%
category 7% 36% 18%
file -2% 36% 31%
donate 0% 38,733% 15%
metapage 1% 17% 28%
wikimedia 100% 6,45% 35%
participation -9% 59% -5%
style_guides 5% 14% 30%
user 0% 39% 37%
wizard 0% 42% 21%
Discussion and Future Work
JaneHe	
  Lehmann	
   Networked	
  User	
  Engagement	
   21	
  
•  Network	
  analysis	
  enhances	
  the	
  understanding	
  of	
  user	
  engagement	
  
•  User	
  engagement	
  in	
  Wikipedia	
  
•  Depends	
  on	
  the	
  ac,ons	
  and	
  interac,ons	
  between	
  them	
  
•  Changes	
  over	
  ,me	
  and	
  paHerns	
  can	
  be	
  observed	
  
	
  
	
  
Future	
  work:	
  
•  Defini,on	
  of	
  new	
  metrics	
  that	
  combine	
  network	
  traffic	
  and	
  other	
  
engagement	
  metrics	
  (e.g.	
  dwell	
  ,me)	
  
•  Comparing	
  changes	
  in	
  traffic-­‐	
  and	
  hyperlink-­‐networks	
  
JaneHe	
  Lehmann	
   Networked	
  User	
  Engagement	
   22	
  
Ques>ons	
  and	
  Discussion…	
  
portal	
  
main	
  page	
  
ar,cle	
  
track	
  
community	
  
history	
  
meta	
  page	
  
sta,s,cs	
  
export	
  
categories	
  
login	
  
search	
   user	
  
Janee	
  Lehmann	
  
Universitat	
  Pompeu	
  Fabra,	
  Spain	
  
jnt.lehmann@gmail.com	
  
	
  
Mounia	
  Lalmas	
  
Yahoo!	
  Labs,	
  Barcelona,	
  Spain	
  
mounia@acm.org	
  
	
  
Ricardo	
  Baeza-­‐Yates	
  
Yahoo!	
  Labs,	
  Barcelona,	
  Spain	
  
rby@yahoo-­‐inc.com	
  
	
  
Actions in Wikipedia
JaneHe	
  Lehmann	
   Mo,va,on	
   23	
  
Loc	
   Context	
   Ac>on	
   Descrip>on	
  
en	
   ar,cle/category/portal/file/talk	
   VIEW	
   view	
  an	
  ar*cle,	
  category,	
  portal,	
  etc.	
  
en	
   ar,cle/category/portal/file/talk	
   VIEW_DETAIL	
   view	
  to	
  history,	
  revisions,	
  etc.	
  
en	
   ar,cle/category/portal/file/talk	
   EDIT	
   edi*ng,	
  rever*ng	
  an	
  edit	
  
meta	
   file	
   VIEW	
   view	
  a	
  file	
  in	
  the	
  file	
  database	
  
en	
   wizard	
   USE	
   create	
  ar*cles,	
  upload	
  files	
  
en	
   *	
   RANDOM	
   Visit	
  a	
  random	
  ar*cle	
  
en	
   *	
   EXPORT	
   Export	
  ar*cles	
  as	
  a	
  pdf	
  book,	
  export	
  
en	
   congress	
   VIEW	
   SOPA/PIPA	
  Strike	
  
en	
   *	
   SEARCH	
   search	
  for	
  an	
  ar*cle	
  
en	
   *	
   SEARCH_DETAIL	
  
browse	
  categories,	
  see	
  pages	
  linking	
  to	
  current	
  one	
  (whats	
  link	
  here),	
  
see	
  ar*cles	
  whose	
  *tle	
  starts	
  with	
  a	
  given	
  prefix	
  
en	
   references	
   SEARCH	
   see	
  links	
  to	
  external	
  sources	
  about	
  a	
  given	
  book	
  (given	
  the	
  ISBN)	
  
en	
   mainpage	
   VIEW	
   visi*ng	
  the	
  main	
  page	
  
meta	
   wikimedia	
   VIEW	
   visi*ng	
  the	
  wikimedia	
  site	
  
meta	
   metapage	
   VIEW	
   visi*ng	
  hZp://www.wikipedia.org/	
  
meta	
   *	
   DONATE	
   donate	
  money	
  to	
  wikimedia	
  
content	
  search	
  meta	
  
Actions in Wikipedia
JaneHe	
  Lehmann	
   Mo,va,on	
   24	
  
Loc	
   Context	
   Ac>on	
   Descrip>on	
  
en	
   account	
   LOGIN	
   login	
  page	
  
en	
   account	
   LOGIN_SUBMIT	
   login	
  
en	
   account	
   LOGOUT	
   logout	
  
en	
   account	
   MANAGE	
   reset	
  password,	
  account	
  se[ngs,	
  eMail	
  verifica*on	
  
en	
   account	
   SIGN_UP	
   create	
  a	
  new	
  account	
  
en	
   sandbox	
   USE	
   sandbox	
  
en	
   style_guides	
   SEEK	
  
visi*ng	
  mediawiki	
  and	
  template	
  namespace	
  (which	
  is	
  used	
  to	
  define	
  css,	
  
provides	
  templates,	
  etc.)	
  
en	
   style_guides	
   EDIT	
   edi*ng	
  style	
  guides	
  
en	
   help	
   SEEK	
   visi*ng	
  wikipedia	
  help	
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triggers,	
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  desk,	
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en	
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   SEEK	
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  pages	
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account	
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  community	
  

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Temporal Variations in Networked User Engagement

  • 1. TEMPORAL VARIATIONS IN NETWORKED USER ENGAGEMENT TNETS Satellite - ECCS In  collabora*on  with:   Mounia  Lalmas,     Ricardo  Baeza-­‐Yates   Jane%e  Lehmann  
  • 2. Outline 1.  What  is  user  engagement?   Overview,  defini,ons,  examples       2.  Why  should  we  combine  it  with  network  analysis?   Networked  user  engagement   Defini,on  of  traffic  networks       3.  Do  we  observe  temporal  varia>ons?   Metrics  and  examples     Lights  on  by  JC*+A!  
  • 3. Engagement in Wikipedia JaneHe  Lehmann   Mo,va,on   3   The  ques>on:     How  engaged     are  users  on     Wikipedia?  
  • 4. Engagement in Wikipedia JaneHe  Lehmann   Mo,va,on   4   How  engaged  are  users  on  Wikipedia?   Web  traffic  reports:  Google  Analy>cs,  Alexa.com,  …   Popularity  (#Users)   Ac>vity  (DwellTime)   Loyalty  (Ac,veDays)  
  • 5. Can  we  do   more?   leP  by    [  embr  ]    
  • 6. The Idea Yes,  we  can…   Users  in  Wikipedia  perform  different  types  of  ac*ons   JaneHe  Lehmann   Mo,va,on   6   Visi,ng  the   main  page   Reading  an   ar,cle   Looking  at   the  revision   history   Visi,ng   categories   Visi,ng   portals   Expor,ng     books   Talking   about  an   ar,cle   Par,cipa,ng     in  the     community   Edi,ng     ar,cles  
  • 7. Actions in Wikipedia Our  assump>on     Ø  Engaged  users  perform  different  types  of  ac,ons    (reading,  edi,ng,  par,cipa,ng  in  the  community)   Ø  If  Wikipedia  is  engaging,  there  is  traffic  between  ac,ons   JaneHe  Lehmann   Mo,va,on   7  
  • 8. 182-­‐365+1  by  meaganmakes   From  site  to     network     engagement  
  • 9. Action Networks Browsing  data  sample   (Sep  2011  –  Oct  2012)     •  48  ac,ons   •  2.3M  pages   •  1.3M  user   •  25.4M  clicks   JaneHe  Lehmann   Mo,va,on   9   portal   main  page   donate   ar,cle   talk   track   community   history   meta  page   edit   sta,s,cs   export   categories   login   search   user  G=(V,  E,  λ)   V:   Ac,ons  on  Wikipedia   E:   Naviga,ons  between  ac,ons   λ(e):   Traffic  volume  (#Clicks)  
  • 10. Network-level Metrics Network-­‐level  metrics   Total  traffic  and  traffic  recircula*on   JaneHe  Lehmann   Networked  User  Engagement   10   TotalNodeTraffic    Total  number  of  users  on  Wikipedia  ac*ons     TotalEdgeTraffic    Total  number  of  users  naviga*ng  between  Wikipedia  ac*ons     TotalTrafficRecircula,on      Propor*on  of  traffic  on  the  network  with  respect    to  the  maximum  possible    (TotalEdgeTraffic  /  TotalNodeTraffic)     20  user   5  user   10  user   30  user  
  • 11. TotalNodeTraffic TotalTrafficRecirculation Sep 2011 – Oct 2012 Networks over Time Monthly  traffic     JaneHe  Lehmann   Networked  User  Engagement   11   •  General  trend   »  Node  traffic  increases   »  Traffic  recircula,on  decreases   •  Dona,on  campaign  (Nov  –  Dec  2011)   »  Increase  of  node  traffic   »  Decrease  of  traffic  recircula,on   •  SOPA/PIPA  protest  (Jan  2012)   »  Peak  of  node  traffic  and  traffic   recircula,on   Opposite  trend  of  node  traffic  and  traffic  recircula7on.   SOPA/PIPA   Dona,on  
  • 12. TotalNodeTraffic Weekdays Weekend TotalTrafficRecirculation March - April 2012 Networks over Time Weekdays  and  Weekends   JaneHe  Lehmann   Networked  User  Engagement   12   •  Traffic  differs  between  weekdays   and  weekends   •  Traffic  is  higher  over  the  weekend,   but  the  traffic  recircula,on  is  lower   There  is  more  traffic  during  the  week,  but  users  are  more  engaged  on  weekends.  
  • 13. NodeTraffic    Traffic  on  node  =  Number  of  users      that  perform  this  ac*ons       NodeTrafficRC      Propor*on  of  out-­‐going  traffic  with      respect  to  the  maximum  possible   DiffNodeTrafficT             DiffNodeTrafficRCT       Node-level Metrics Node-­‐level  metrics   Node  traffic  and  traffic  recircula*on   JaneHe  Lehmann   Networked  User  Engagement   13   10  user   5  user   NodeTrafficT NodeTrafficT−1 NodeTrafficRCT NodeTrafficRCT−1 sta,c   dynamic  
  • 14. nodeTraffic TrafficRecirculation Sep 2011 – Oct 2012 Donation Campaign How  did  the  dona>on  campaign  affect  the  engagement  in  Wikipedia?   JaneHe  Lehmann   Networked  User  Engagement   14   •  We  calculated  the  change  of:   »  Node  traffic  (DiffNodeTraffic)   »  Outgoing  node  traffic  (DiffNodeTrafficRC)     •  October,  November,  December  2011   •  We  iden,fied  nodes  (ac,ons)  that  have  received  an   high  increase  in  traffic  and  out-­‐going  traffic   Dona,on  campaign  (Nov  –  Dec)  
  • 15. Donation Campaign JaneHe  Lehmann   Networked  User  Engagement   15   Oct-11 Nov-11 Dec-11 track 1% 0% 7% account_login 2% 0% 7% account_creation 0% 18% -6% mainpage 3% 0% 4% donate 0% 23% 4% metapage 2% 11% 18% wikimedia 0% 7% 2% participation 0% 27% 0% style_guides 4% 0% 12% user 0% 0% 22% wikipedia -5% 5% -2% wizard 0% 19% 0% Oct-11 Nov-11 Dec-11 search_detail 3% 49% 7% account_creation -7% 27% 26% article 2% 31% 29% category 7% 36% 18% file -2% 36% 31% donate 0% 38,733% 15% metapage 1% 17% 28% wikimedia 100% 6,45% 35% participation -9% 59% -5% style_guides 5% 14% 30% user 0% 39% 37% wizard 0% 42% 21% Increase  of  node  traffic   Increase  of  outgoing  node  traffic  
  • 16. Donation Campaign JaneHe  Lehmann   Networked  User  Engagement   16   Ø  Less  changes  before  the  dona,on  campaign  starts   Increase  of  node  traffic   Increase  of  outgoing  node  traffic   Oct-11 Nov-11 Dec-11 track 1% 0% 7% account_login 2% 0% 7% account_creation 0% 18% -6% mainpage 3% 0% 4% donate 0% 23% 4% metapage 2% 11% 18% wikimedia 0% 7% 2% participation 0% 27% 0% style_guides 4% 0% 12% user 0% 0% 22% wikipedia -5% 5% -2% wizard 0% 19% 0% Oct-11 Nov-11 Dec-11 search_detail 3% 49% 7% account_creation -7% 27% 26% article 2% 31% 29% category 7% 36% 18% file -2% 36% 31% donate 0% 38,733% 15% metapage 1% 17% 28% wikimedia 100% 6,45% 35% participation -9% 59% -5% style_guides 5% 14% 30% user 0% 39% 37% wizard 0% 42% 21%
  • 17. Donation Campaign JaneHe  Lehmann   Networked  User  Engagement   17   Ø  Many  users  donate  money   Increase  of  node  traffic   Increase  of  outgoing  node  traffic   Oct-11 Nov-11 Dec-11 track 1% 0% 7% account_login 2% 0% 7% account_creation 0% 18% -6% mainpage 3% 0% 4% donate 0% 23% 4% metapage 2% 11% 18% wikimedia 0% 7% 2% participation 0% 27% 0% style_guides 4% 0% 12% user 0% 0% 22% wikipedia -5% 5% -2% wizard 0% 19% 0% Oct-11 Nov-11 Dec-11 search_detail 3% 49% 7% account_creation -7% 27% 26% article 2% 31% 29% category 7% 36% 18% file -2% 36% 31% donate 0% 38,733% 15% metapage 1% 17% 28% wikimedia 100% 6,45% 35% participation -9% 59% -5% style_guides 5% 14% 30% user 0% 39% 37% wizard 0% 42% 21%
  • 18. Donation Campaign JaneHe  Lehmann   Networked  User  Engagement   18   Ø  Users  inform  themselves  about  the  dona,on  progress   (wikimediafounda,on.org),  but  do  not  return  to  Wikipedia   Increase  of  node  traffic   Increase  of  outgoing  node  traffic   Oct-11 Nov-11 Dec-11 track 1% 0% 7% account_login 2% 0% 7% account_creation 0% 18% -6% mainpage 3% 0% 4% donate 0% 23% 4% metapage 2% 11% 18% wikimedia 0% 7% 2% participation 0% 27% 0% style_guides 4% 0% 12% user 0% 0% 22% wikipedia -5% 5% -2% wizard 0% 19% 0% Oct-11 Nov-11 Dec-11 search_detail 3% 49% 7% account_creation -7% 27% 26% article 2% 31% 29% category 7% 36% 18% file -2% 36% 31% donate 0% 38,733% 15% metapage 1% 17% 28% wikimedia 100% 6,45% 35% participation -9% 59% -5% style_guides 5% 14% 30% user 0% 39% 37% wizard 0% 42% 21%
  • 19. Donation Campaign JaneHe  Lehmann   Networked  User  Engagement   19   Ø  More  users  go  to  the  “Account  crea,on”  page  and  also  create  accounts   Increase  of  node  traffic   Increase  of  outgoing  node  traffic   Oct-11 Nov-11 Dec-11 track 1% 0% 7% account_login 2% 0% 7% account_creation 0% 18% -6% mainpage 3% 0% 4% donate 0% 23% 4% metapage 2% 11% 18% wikimedia 0% 7% 2% participation 0% 27% 0% style_guides 4% 0% 12% user 0% 0% 22% wikipedia -5% 5% -2% wizard 0% 19% 0% Oct-11 Nov-11 Dec-11 search_detail 3% 49% 7% account_creation -7% 27% 26% article 2% 31% 29% category 7% 36% 18% file -2% 36% 31% donate 0% 38,733% 15% metapage 1% 17% 28% wikimedia 100% 6,45% 35% participation -9% 59% -5% style_guides 5% 14% 30% user 0% 39% 37% wizard 0% 42% 21%
  • 20. Donation Campaign JaneHe  Lehmann   Networked  User  Engagement   20   Ø  More  users  go  to  community  pages  (e.g.  the  community  portal,  reference  desk,   goings-­‐on)   Increase  of  node  traffic   Increase  of  outgoing  node  traffic   Oct-11 Nov-11 Dec-11 track 1% 0% 7% account_login 2% 0% 7% account_creation 0% 18% -6% mainpage 3% 0% 4% donate 0% 23% 4% metapage 2% 11% 18% wikimedia 0% 7% 2% participation 0% 27% 0% style_guides 4% 0% 12% user 0% 0% 22% wikipedia -5% 5% -2% wizard 0% 19% 0% Oct-11 Nov-11 Dec-11 search_detail 3% 49% 7% account_creation -7% 27% 26% article 2% 31% 29% category 7% 36% 18% file -2% 36% 31% donate 0% 38,733% 15% metapage 1% 17% 28% wikimedia 100% 6,45% 35% participation -9% 59% -5% style_guides 5% 14% 30% user 0% 39% 37% wizard 0% 42% 21%
  • 21. Discussion and Future Work JaneHe  Lehmann   Networked  User  Engagement   21   •  Network  analysis  enhances  the  understanding  of  user  engagement   •  User  engagement  in  Wikipedia   •  Depends  on  the  ac,ons  and  interac,ons  between  them   •  Changes  over  ,me  and  paHerns  can  be  observed       Future  work:   •  Defini,on  of  new  metrics  that  combine  network  traffic  and  other   engagement  metrics  (e.g.  dwell  ,me)   •  Comparing  changes  in  traffic-­‐  and  hyperlink-­‐networks  
  • 22. JaneHe  Lehmann   Networked  User  Engagement   22   Ques>ons  and  Discussion…   portal   main  page   ar,cle   track   community   history   meta  page   sta,s,cs   export   categories   login   search   user   Janee  Lehmann   Universitat  Pompeu  Fabra,  Spain   jnt.lehmann@gmail.com     Mounia  Lalmas   Yahoo!  Labs,  Barcelona,  Spain   mounia@acm.org     Ricardo  Baeza-­‐Yates   Yahoo!  Labs,  Barcelona,  Spain   rby@yahoo-­‐inc.com    
  • 23. Actions in Wikipedia JaneHe  Lehmann   Mo,va,on   23   Loc   Context   Ac>on   Descrip>on   en   ar,cle/category/portal/file/talk   VIEW   view  an  ar*cle,  category,  portal,  etc.   en   ar,cle/category/portal/file/talk   VIEW_DETAIL   view  to  history,  revisions,  etc.   en   ar,cle/category/portal/file/talk   EDIT   edi*ng,  rever*ng  an  edit   meta   file   VIEW   view  a  file  in  the  file  database   en   wizard   USE   create  ar*cles,  upload  files   en   *   RANDOM   Visit  a  random  ar*cle   en   *   EXPORT   Export  ar*cles  as  a  pdf  book,  export   en   congress   VIEW   SOPA/PIPA  Strike   en   *   SEARCH   search  for  an  ar*cle   en   *   SEARCH_DETAIL   browse  categories,  see  pages  linking  to  current  one  (whats  link  here),   see  ar*cles  whose  *tle  starts  with  a  given  prefix   en   references   SEARCH   see  links  to  external  sources  about  a  given  book  (given  the  ISBN)   en   mainpage   VIEW   visi*ng  the  main  page   meta   wikimedia   VIEW   visi*ng  the  wikimedia  site   meta   metapage   VIEW   visi*ng  hZp://www.wikipedia.org/   meta   *   DONATE   donate  money  to  wikimedia   content  search  meta  
  • 24. Actions in Wikipedia JaneHe  Lehmann   Mo,va,on   24   Loc   Context   Ac>on   Descrip>on   en   account   LOGIN   login  page   en   account   LOGIN_SUBMIT   login   en   account   LOGOUT   logout   en   account   MANAGE   reset  password,  account  se[ngs,  eMail  verifica*on   en   account   SIGN_UP   create  a  new  account   en   sandbox   USE   sandbox   en   style_guides   SEEK   visi*ng  mediawiki  and  template  namespace  (which  is  used  to  define  css,   provides  templates,  etc.)   en   style_guides   EDIT   edi*ng  style  guides   en   help   SEEK   visi*ng  wikipedia  help  pages   en   wikipedia   VIEW/VIEW_DETAIL/EDIT   visi*ng  wikipedia  project  namespace   en   user/user_talk   VIEW/VIEW_DETAIL/EDIT   Ac*ons  in  user  and  user  talk  namespace   en   maintenance   SEEK   triggers,  to-­‐do  lists,  ongoing  discussions  and  special  cases,  visi*ng  the   special  namespace   en   *   TRACK   track  changes  and  users,  watchlist,  log   en   par,cipants   SEEK   visi*ng  the  community  portal,  reference  desk,  goings-­‐on   en   sta,s,cs   SEEK   visi*ng  sta*s*c  pages  about  Wikipedia   account  management  community