Computer Science – Social and Information Networks
Scientific paper
2012-02-13
Computer Science
Social and Information Networks
Scientific paper
Maintaining high quality content is one of the foremost objectives of any web-based collaborative service that depends on a large number of users. In such systems, it is nearly impossible for automated scripts to judge semantics as it is to expect all editors to review the content. This catalyzes the need for trust-based mechanisms to ensure quality of an article immediately after an edit. In this paper, we build on previous work and develop a framework based on the `web of trust' concept to calculate satisfaction scores for all users without the need for perusing the article. We derive some bounds for systems based on our mechanism and show that the optimization problem of selecting the best users to review an article is NP-Hard. Extensive simulations validate our model and results, and show that trust-based mechanisms are essential to improve efficiency in any online collaborative editing platform.
Maillé Patrick
Sekar Shreyas
No associations
LandOfFree
Exploiting the `Web of Trust' to improve efficiency in collaborative networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Exploiting the `Web of Trust' to improve efficiency in collaborative networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Exploiting the `Web of Trust' to improve efficiency in collaborative networks will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-88386