Research on Analyzing Users Surfing Behavior by Google Analytics and Topic Maps

• Main Authors: Ching-Shan Yang, 楊靖山
• Other Authors: 葉耀明
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/34716004412099009733

碩士 === 國立臺灣師範大學 === 資訊工程研究所 === 98 === 　　With the popularity of the Internet, people usually get useful information from Web sites. Most Web sites usually embed hit count function to record the number of visitors. Which is commonly use on online auction, blogs, and even Internet advertising. However to record the number of visitors can not fully provide useful information for user surfing behavior. 　　This research integrates two technologies, include Google Analytics and Topic concept maps. Google Analytics is a free service provided by Google. It can make a detailed statistics of the relationship between users and the Web site. Topic concept maps is from Topic Maps. It presents the structure of knowledge. Here we use two analytic techniques in our Web site. First, we call Google Analytics as global view analysis. Second, we trace the behavior for a single user as local view analysis. And then, we combine SVG technique to build graphics of topic concept. Furthermore, we develop surfing paths based on the statistic information. Through the graphical presentation, user can understand more information from the topic structure of the Web site. On the other hand, the Webmaster can adjust content according to the collected user requirement information.