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Pa#erns	
  
in	
  Interac*ve	
  Tagging	
  Networks	
  
Y.	
  Yamaguchi	
  1 	
  M.	
  Yoshida	
  2	
  
C.	
  Faloutsos	
  3	
   	
  H.	
  Kitagawa	
  1	
  
	
  
1	
  U.	
  Tsukuba	
  	
  	
  2	
  Toyohashi	
  U.	
  Tech 	
  3	
  CMU	
  
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   1	
  
Resource tagging networks
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   2	
  
What happens
if users can tag other users?
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   3	
  
Twitter lists
Sports	
  
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   4	
  
A	
  
Lists as tags
Sports	
  
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   5	
  
A	
  
TwiNer	
  users	
  can	
  tag	
  each	
  other	
  
Interactive tagging network
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   6	
  
What happens
if users can tag other users?
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   7	
  
What	
  is	
  the	
  difference	
  between	
  
the	
  two	
  types	
  of	
  tagging	
  networks?	
  
(RQ1) Contrast	
  
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   8	
  
Data
7M 	
  users	
  
	
  
1.8M 	
  tags	
  
20M 	
  edges	
  
30K 	
  users	
  
2.8M 	
  resources	
  
300K 	
  tags	
  
11M 	
  edges	
  
52K 	
  users	
  
2.6M 	
  resources	
  
450K 	
  tags	
  
14M 	
  edges	
  
Available	
  hNp://dx.doi.org/10.5281/zenodo.16267	
  
We	
  collected	
  From	
  exis5ng	
  study	
  
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   9	
  
Broad	
  &	
  narrow	
  folksonomy	
  [Helic+,	
  2012]	
  
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   10	
  
Broad	
  folksonomy	
   Narrow	
  folksonomy	
  
Tags	
  for	
  
popular	
  resources	
  
Tags	
  for	
  	
  
own	
  resources	
  
Q.	
  Which	
  does	
  TwiNer	
  belong	
  to?	
  
A. Broad folksonomy on T	
  
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   11	
  
Log-­‐log	
  
plot	
  
Categorizers	
  &	
  Describers	
  [Korner+,	
  2010]	
  
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   12	
  
…	
  
Categorizers	
   Describers	
  
…	
  
One	
  tag	
  
for	
  many	
  resources	
  
One	
  tag	
  
for	
  one	
  resource	
  
Q.	
  Which	
  type	
  are	
  TwiNer	
  users?	
  
Tagging Behaviors
|Tu| :	
  The	
  number	
  of	
  tags	
  user	
  u	
  used	
  
	
  
|Ru| :	
  The	
  number	
  of	
  resources	
  user	
  u	
  tagged	
  
e.g.)	
   t	
  
u	
  
s	
  
|Tu| 	
  =	
  3	
  
|Ru| 	
  =	
  2	
  
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   13	
  
A. Many categorizers on T
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   14	
  
30.41	
  
Log-­‐log	
  plot	
  
What	
  is	
  the	
  difference	
  between	
  
the	
  two	
  types	
  of	
  tagging	
  networks?	
  
(RQ1) Contrast - answer	
  
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   15	
  
Broad	
  
Categorizers	
  
Narrow	
  
Describers	
  
Broad	
  
Describers	
  
How	
  do	
  users	
  reciprocate	
  
in	
  interac*ve	
  tagging	
  network?	
  
(RQ2) Tagging reciprocity	
  
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   16	
  
Mul*plicity	
  
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   17	
  
?	
   ?	
  
Q.	
  Which	
  is	
  more	
  likely	
  
to	
  be	
  reciprocated?	
  
A. Large multiplicity is
more likely to be reciprocated
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   18	
  
Log-­‐scale	
  
growth	
  
Type	
  of	
  tags	
  
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   19	
  
?	
  
Q.	
  What	
  type	
  of	
  tag	
  is	
  
more	
  likely	
  to	
  be	
  reciprocated?	
  	
  
Friend	
  
?	
  
Sports	
  
A. Friendship-related tags are
more likely to be reciprocated
*	
  Overall	
  RP:	
  0.046	
  
RP@t:
Recipr.	
  prob.	
  for	
  tag	
  t	
  
Lift:
(RP@t)	
  /	
  (Overall	
  RP)	
  
*	
  
*	
  
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   20	
  
(RQ2) Tagging reciprocity
- answer	
  
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   21	
  
1.  Large multiplicity is more likely
to be reciprocated
2.  Friendship-related tags are
more likely to be reciprocated
How	
  do	
  users	
  reciprocate	
  
in	
  interac*ve	
  tagging	
  network?	
  
Conclusion
(RQ1) Contrast:
ü Broad	
  and	
  narrow	
  folksonomy	
  
ü Categorizers	
  and	
  describers
(RQ2) Tagging reciprocity:
ü Large	
  mul5plicity	
  à	
  reciprocated	
  
ü Friendship-­‐related	
  à	
  reciprocated	
  
15/05/27	
   Yuto	
  Yamaguchi	
  -­‐	
  ICWSM15	
   22	
  
Please	
  see	
  the	
  paper	
  
for	
  other	
  discoveries	
  

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Patterns in Interactive Tagging Networks

  • 1. Pa#erns   in  Interac*ve  Tagging  Networks   Y.  Yamaguchi  1  M.  Yoshida  2   C.  Faloutsos  3    H.  Kitagawa  1     1  U.  Tsukuba      2  Toyohashi  U.  Tech  3  CMU   15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   1  
  • 2. Resource tagging networks 15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   2  
  • 3. What happens if users can tag other users? 15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   3  
  • 4. Twitter lists Sports   15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   4   A  
  • 5. Lists as tags Sports   15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   5   A  
  • 6. TwiNer  users  can  tag  each  other   Interactive tagging network 15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   6  
  • 7. What happens if users can tag other users? 15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   7  
  • 8. What  is  the  difference  between   the  two  types  of  tagging  networks?   (RQ1) Contrast   15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   8  
  • 9. Data 7M  users     1.8M  tags   20M  edges   30K  users   2.8M  resources   300K  tags   11M  edges   52K  users   2.6M  resources   450K  tags   14M  edges   Available  hNp://dx.doi.org/10.5281/zenodo.16267   We  collected  From  exis5ng  study   15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   9  
  • 10. Broad  &  narrow  folksonomy  [Helic+,  2012]   15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   10   Broad  folksonomy   Narrow  folksonomy   Tags  for   popular  resources   Tags  for     own  resources   Q.  Which  does  TwiNer  belong  to?  
  • 11. A. Broad folksonomy on T   15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   11   Log-­‐log   plot  
  • 12. Categorizers  &  Describers  [Korner+,  2010]   15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   12   …   Categorizers   Describers   …   One  tag   for  many  resources   One  tag   for  one  resource   Q.  Which  type  are  TwiNer  users?  
  • 13. Tagging Behaviors |Tu| :  The  number  of  tags  user  u  used     |Ru| :  The  number  of  resources  user  u  tagged   e.g.)   t   u   s   |Tu|  =  3   |Ru|  =  2   15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   13  
  • 14. A. Many categorizers on T 15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   14   30.41   Log-­‐log  plot  
  • 15. What  is  the  difference  between   the  two  types  of  tagging  networks?   (RQ1) Contrast - answer   15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   15   Broad   Categorizers   Narrow   Describers   Broad   Describers  
  • 16. How  do  users  reciprocate   in  interac*ve  tagging  network?   (RQ2) Tagging reciprocity   15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   16  
  • 17. Mul*plicity   15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   17   ?   ?   Q.  Which  is  more  likely   to  be  reciprocated?  
  • 18. A. Large multiplicity is more likely to be reciprocated 15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   18   Log-­‐scale   growth  
  • 19. Type  of  tags   15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   19   ?   Q.  What  type  of  tag  is   more  likely  to  be  reciprocated?     Friend   ?   Sports  
  • 20. A. Friendship-related tags are more likely to be reciprocated *  Overall  RP:  0.046   RP@t: Recipr.  prob.  for  tag  t   Lift: (RP@t)  /  (Overall  RP)   *   *   15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   20  
  • 21. (RQ2) Tagging reciprocity - answer   15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   21   1.  Large multiplicity is more likely to be reciprocated 2.  Friendship-related tags are more likely to be reciprocated How  do  users  reciprocate   in  interac*ve  tagging  network?  
  • 22. Conclusion (RQ1) Contrast: ü Broad  and  narrow  folksonomy   ü Categorizers  and  describers (RQ2) Tagging reciprocity: ü Large  mul5plicity  à  reciprocated   ü Friendship-­‐related  à  reciprocated   15/05/27   Yuto  Yamaguchi  -­‐  ICWSM15   22   Please  see  the  paper   for  other  discoveries