Week 2
This week, we’re picking off where we left off on Li Xiong's paper on Trust within decentralized P2P communities with chapter 2.
The trust model
- Three Basic Trust Parameters Overcoming Inaccuracy
- Amount of Satisfaction
- Number of Interactions
- Balance factor of trust
Notes and Insights
- A peer $ performs 10 interactions (services) with other peers up to time t and obtains satisfaction for each service it performs. Another peer % performs 100 interactions but only obtains satisfaction in one out of ten services it performs. The two peers receive the same amount of satisfaction (feedback scores) through the services they perform, but it is obvious that if the trust is established in terms of the overall service quality, peer $ will be considered more trustworthy than peer %.
- Can you easily identify the reputation management system built into DAOs?
- DAOs do not have strong reputation management systems
- Having a community-based reputation is different from having a work-based reputation in a DAO
- How can we implement the PeerTrust model
- 1i/t =s
- Tracking the number of tasks an individual does in relation to satisfaction
- Can we have a system that aggregates satisfaction? -Is Wonderverse a potential tool?
- The number of interactions should be in two parts- the number of people and transactions