引述 :『您好，我是文化大學新聞研究所在職專班的學生，我的論文是有關於社群書籤(Social Bookmarking)網站的使用現況、動機與社群發展狀況的學術研究，希望您不吝提供寶貴意見給本研究參考，填寫問卷的結果僅供學術研究，填寫時不需具名，您可放心填答。謝謝您！』

引述 :『A December 2006 survey has found that 28% of internet users have tagged or categorized content online such as photos, news stories or blog posts. On a typical day online, 7% of internet users say they tag or categorize online content.』

引述 :『That’s why I like the idea of deep tagging. It requires human labor but for many publishers it’s worth it. Instead of simply being associated with a file, a deep tag is associated with a clip from the file. Click on the tag and jump right to that part of the clip.』

引述 :『Collaborative tagging has been quickly gaining ground because of its ability to recruit the activity of web users into effectively organizing and sharing vast amounts of information. Here we collect data from a popular system and investigate the statistical properties of tag co-occurrence. We introduce a stochastic model of user behavior embodying two main aspects of collaborative tagging: (i) a frequency-bias mechanism related to the idea that users are exposed to each other's tagging activity; (ii) a notion of memory - or aging of resources - in the form of a heavy-tailed access to the past state of the system. Remarkably, our simple modeling is able to account quantitatively for the observed experimental features, with a surprisingly high accuracy. This points in the direction of a universal behavior of users, who - despite the complexity of their own cognitive processes and the uncoordinated and selfish nature of their tagging activity - appear to follow simple activity patterns.』