An exploration of Taiwan government recommended tourism routes: using social network analysis

• Main Authors: Cheng, Hsueh-Chun, 鄭學駿
• Other Authors: Lee, Chi-Chung
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/62555194911812616200

碩士 === 中華大學 === 資訊管理學系碩士班 === 99 === Traditional tourism research in all tourism activities usually regarded as independent entities, and individuals in the independent travel-related people and things to discuss. However, this study ignores the tourism system, actors in different individuals (the people in tourism activities and things) of the relational structure. In fact, a tour, or between people of different tours and things interactive, complex system is a form in which the individual is not in the tourism process independent, these individuals will not only interdependent but also interaction transmit messages between each other to form a complex network. This study is using social network analysis to explore the statistics of the Taiwan government's Bureau of the most popular recreational attractions are a network of relationships, the use of the Tourism Bureau and the recommendations of county and city governments are planning to build a popular travel attractions, recreational social network charts to understand how the Government planned to set up an effective tourist attractions in the activities and facilities.