利用“信任网”提高协作网络的效率
Exploiting the `Web of Trust' to improve efficiency in collaborative networks
摘要：
维持高质量的内容是任何依赖于大量用户的基于Web的协作服务的首要目标之一。在这样的系统中，自动化脚本几乎不可能判断语义，因为它期望所有编辑都审查内容。这就催生了对基于信任的机制的需求，以确保编辑后文章的质量。在本文中，我们建立在以前的工作，并开发了一个框架的基础上的“信任网络”的概念来计算所有用户的满意度得分，而不需要细读的文章。我们推导出一些界限的基础上，我们的机制，并表明，选择最佳用户审查文章的优化问题是NP-Hard。大量的模拟验证了我们的模型和结果，并表明基于信任的机制是必不可少的，以提高效率，在任何在线协作编辑平台。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
