Study on Blog Community Based on an Improved Digg Algorithm
Nowadays, there emerges overwhelming information on the internet.How to find the most useful information is becoming increasingly important.Essentially, the most trait of Web 2.0 is user-generated content which is promised by the Internet itself power.To some extent, Digg.com is one of the most effective Web 2.0 website and digg has become one of the most effective mechanisms to promote the useful information on the Internet.The more users the website has, the more valuable posts will emerge on the front page.In contrast, the information with less merit will be buried forever.Our thesis analyzes present Digg websites both domestically (digg.cn) and abroad (digg.com), discusses key mechanism of digg, and proposes potential problems: positive feedback and scoring strategy.Based on the elaboration suggested in our paper, we will improve a basic Digg algorithm to solve these two problems.
Xubo Wang Meiqi Fang Shanshan Chen Yao Sun Xiaoyuan Jin
Economic Science Laboratory, Renmin University of China
国内会议
西安
英文
162-168
2008-07-21（万方平台首次上网日期，不代表论文的发表时间）