Shengjing has carried out a study about this topic during her research stay at  the University of Applied Sciences and Arts, Switzerland. A dataset obtained from the social network Weibo has been curated and analysed. The result will be presented this week in the International Conference of Tourism (ICOT 2016) in Naples, Italy.

In this study, we design a methodology for social networks based tourism traits analysis, which combines user analysis in social networks and tourist research emphasis in the travel and tourism industry. This methodology could be applied to analyze tourist traits in any social network platform. In this paper, we conduct a case study, which is related on the Chinese tourists toward Switzerland based on our methodology and social media big data analysis from Sina Weibo. Different findings are obtained for Chinese tourists market in Switzerland. Those findings will be beneficial to tourism-related suppliers and markers to make valuable strategies.