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Surfing a web of trust:  Reputation and Reciprocity on CouchSurfing.com Debra Lauterbach, Hung Truong, Tanuj Shah, Lada Adamic University of Michigan School of Information
[object Object],[object Object],[object Object],[object Object],[object Object],Outline
[object Object],[object Object],[object Object],About CouchSurfing
Whose couch would you stay on?
[object Object],[object Object],[object Object],The importance of trust
[object Object],[object Object],Related work
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Our research questions
[object Object],[object Object],[object Object],[object Object],[object Object],The data
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],The data
[object Object],[object Object],Patterns of activity
[object Object],Reciprocity A B
[object Object],Reciprocity
Worldwide reciprocity
[object Object],[object Object],[object Object],[object Object],[object Object],Reputation System - Vouching “ Respecting the significance of vouching is essential  to the integrity of the network... It is very important  that you ONLY vouch for people that you have met in  person and know well enough to believe that he or  she is trustworthy.”
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Is the vouching system being used as intended?
[object Object],[object Object],Why do users vouch others?
[object Object],Who are users vouching? Friendship degree: 1= Haven’t met yet 2= Acquaintance 3= CouchSurfing friend 4= Friend 5= Good friend 6= Close friend 7= Best friend
[object Object],[object Object],[object Object],[object Object],Predicting vouches
[object Object],Predicting vouches - global measures A B C D ? Indirect vouch score for A->D: = 1/n(B) + 1/n(C)
[object Object],[object Object],Predicting vouches - global measures Predictive accuracy: Variable 50.6% PageRank 54.2% 2-step vouch propagation 55.8% Jaccard coefficient 67.7% Friendship degree
[object Object],[object Object],[object Object],[object Object],Summary
[object Object],[object Object],[object Object],[object Object],[object Object],Thank you!

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Surfing a Web of Trust: Reputation and Reciprocity on CouchSurfing.com

  • 1. Surfing a web of trust: Reputation and Reciprocity on CouchSurfing.com Debra Lauterbach, Hung Truong, Tanuj Shah, Lada Adamic University of Michigan School of Information
  • 2.
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  • 4. Whose couch would you stay on?
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Notes de l'éditeur

  1. The study I will tell you about today is largely descriptive, where we focused on finding and interpreting the phenomena occurring in this unique online community, and in particular in the reputation system in use on the site So today in my talk I will cover… ..wrap up with some discussion of how the best practices from CS could be applied to other online communities, & our ideas for future work
  2. So, what is CouchSurfing? I’ll give a short introduction as many of you may not have heard of it before - it’s a popular but a niche website. And to give you an idea of how it works, I’ll give you an example. So here we are, most of us visitors in Vancouver. Instead of staying in a hotel or wherever you are staying, you could have used CouchSurfing to find a local person to stay with. You would have done a search for Vancouver, and you would have found that there are over 100 people in Vancouver to choose from.
  3. Here are just a few of those CouchSurfing members here in Vancouver with available couches. There is no monetary exchange involved, the whole idea and mission behind the site is to meet new people and share cultural experiences. So, who would you choose, and would you do it?
  4. For many people, their answer depends on how much they feel they can trust the other person. You want to know when you’re staying with someone that you will be safe in their house, they will not hurt you - all the basic human survival instincts. Things like the personality and interests of the other person may matter to you too as to how much you may have in common and enjoy meeting each other, but that’s all secondary. Now, it’s already known that trust is a big factor in enabling successful online transactions. Research on eBay, for instance, has shown the importance of their reputation systems for creating trust between the buyer and the seller. So you can only imagine that on sites like CouchSurfing that exist to facilitate offline transactions that trust is even more important. Much research has been done on trust and reputation systems, especially on eBay and other marketplaces, P2P networks, etc. But little research on sites like CS where people meet in person. This is kind of the new frontier of social computing - bringing the experiences into the real world, so studying how this process is faciliated on a real life community was our main motivation.
  5. They analyzed a set of private trust ratings, not the public reputation system that we’ll be focusing on - higher trust most correlated with origin and context of relationship, and duration reciprocity was the other salient factor to the site’s success, and the other thing that a reputation system must help enable. Otherwise, not enough hosts to sustain activity
  6. In what FORM it exists Examined reputation system from several angles
  7. Anonymized
  8. This is where it gets interesting…CS contains all these details on friendships, to help users judge others based on their friendships. They are also unique in that their social norms really discourage having many weak friendships like you might see on other sites, so you typically only add friends if you are actually friends in real life.
  9. So we did a thorough analysis of the data, beginning with looking at the whole network. And quickly, what we can see is that activity is distributed the way you see on many other sites.
  10. Direct: we think this shows that personal connections are being made because of surfing experiences
  11. Generalized: means that I may host you, then you may not host me but may host someone else. What you get when this happens is a strongly connected component in the network, where you can hop from couch to couch between users who have surfed or hosted together to every other user in that component. In this case, this component makes up 1/3 of active users who are those who have surfed or hosted at least once
  12. We looked at where these experiences were taking place, and you can see that there is a lot of global activity. The size of the circle is the number of experiences within that country, and the lines are experiences between people from different countries. A network as broad, global, and active- must be supported by an underlying network of trust. so, turn attn to trust system
  13. The part of the reputation system we studied was the vouching network.
  14. How is the vouching system being used? While as I said before only 6.8% of users have been vouches, this is a bit misleading as it is skewed by the low activity on the site Vouches given out (by those who can)
  15. From these results, we wondered… Pressure since vouching is public
  16. CS friends make up many of the vouched edges
  17. Wanted to quantify the factors that contribute in one person vouching for another. We took all the connections that were vouched, along with any connections that had the potential to be vouched but were not , and built a balanced sample of 100,000 of these edges. We then ran a logistic regression model using 10 fold cross validation in order to discern which variables would most accurately predict a vouched edge