Paper Info
Title
Exploiting the `Web of Trust' to improve efficiency in collaborative networks
Abstract
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.
Year
Venue
DocType
2012
arXiv: Social and Information Networks
Journal
Volume
Citations 
PageRank 
abs/1202.2888
0
0.34
References 
Authors
17
2
Name
Order
Citations
PageRank
Shreyas Sekar1267.56
Patrick Maillé228243.33