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Competing to Share:  the Taskcn Knowledge Sharing Community Jiang Yang, Lada Adamic, Mark Ackerman School of Information, University of Michigan April, 2008 Witkey
“ Witkey” Mechanism A user posts a question/task, and deposits money as  the award onto the website  Other users submit their solutions to the website Upon the deadline, the requester choose the winner/s The website send s 80% money to the winner/s
Why “Witkey” interesting? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Basic Features of “Witkey” websites ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Constructing structural prestige network for both the user and task to understand the participation structure A Social Network Approach:
User’s Prestige Network A B C D X Y win win
Task’s Prestige Network A B C X Y win win Z
Scale-free Distribution of Prestige
Motif: looking into the structure loops Symmetrical triads
Understanding basic participation pattern
Incentives to Participate ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Average Prestige of Participants of a Task ,[object Object],[object Object],[object Object],Money does not bring better submissions: no correlation Between the average prestige of all participants Correlations between task prestige and users’ average PageRank *   Task Total Degree Task  Outdegree Task  Closeness Task Betweenness Ave-Pagerank Pearson Correlation -.293(**) -.491(**) -.250(**) -.250(**) Sig. (2-tailed) .000 .000 .000 .000 * non-significant correlations omitted
Prediction:  the probability for a user to win in a task Result: significant: Cox & Snell R Square = .681 The number of submissions of a task will lower down the probability of winning The user’s prestige level (indicated by indegree) will slightly improve the winning chance However, the winning chance is largely determined by the number of submissions.  Logit P win=1, lose=0 = β 1 X number of submitters  + β 2 X userIndegree +ε B S.E. Wald df Sig. Exp(B) Step 1(a) logSubmit -.818 .015 2870.021 1 .000 .441 Step 2(b) logSubmit -.833 .016 2653.267 1 .000 .435 logUserIndegree .191 .048 15.556 1 .000 1.211
[object Object],[object Object],[object Object],[object Object],[object Object],Conclusions
[object Object],Contributions ,[object Object]
Thank You! Any Question? Or email me [email_address]

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Competing to Share: the Taskcn Knowledge Sharing Community

  • 1. Competing to Share: the Taskcn Knowledge Sharing Community Jiang Yang, Lada Adamic, Mark Ackerman School of Information, University of Michigan April, 2008 Witkey
  • 2. “ Witkey” Mechanism A user posts a question/task, and deposits money as the award onto the website Other users submit their solutions to the website Upon the deadline, the requester choose the winner/s The website send s 80% money to the winner/s
  • 3.
  • 4.
  • 5. Constructing structural prestige network for both the user and task to understand the participation structure A Social Network Approach:
  • 6. User’s Prestige Network A B C D X Y win win
  • 7. Task’s Prestige Network A B C X Y win win Z
  • 9. Motif: looking into the structure loops Symmetrical triads
  • 11.
  • 12.
  • 13. Prediction: the probability for a user to win in a task Result: significant: Cox & Snell R Square = .681 The number of submissions of a task will lower down the probability of winning The user’s prestige level (indicated by indegree) will slightly improve the winning chance However, the winning chance is largely determined by the number of submissions. Logit P win=1, lose=0 = β 1 X number of submitters + β 2 X userIndegree +ε B S.E. Wald df Sig. Exp(B) Step 1(a) logSubmit -.818 .015 2870.021 1 .000 .441 Step 2(b) logSubmit -.833 .016 2653.267 1 .000 .435 logUserIndegree .191 .048 15.556 1 .000 1.211
  • 14.
  • 15.
  • 16. Thank You! Any Question? Or email me [email_address]

Editor's Notes

  1. Hello, I am Jiang Yang, I am a second year PHD student in the School of Information at the University of Michigan. Today, my presentation is going to introduce an interesting kind of knowledge sharing website in China and how we created innovative way to analyze people’s participation structures. In China, people call this kind of websites Witkey, which means the key to wisdom. This name is created by the founder of the first Witkey website. Taskcn.com, the witkey website we investigated in this study, is one of the biggest Witkey websites in China.