TY  - CONF
T1  - Tourists Traits Analysis on Social Networks
A1  - Sun, Shengjing
A1  - Liu, Zhan
A1  - Iglesias, Carlos A.
A1  - Glassey Balet, Nicole
TI  - Proceedings of the 6th International Conference on Tourism (ICOT)
Y1  - 2016
T2  - The International Association for Tourism Policy
CY  - Naples, Italy
SN  - 978-618-81503-1-7
SN  - 2241-9314
UR  - http://iatour.net/icot2016/
KW  - Behavior Analysis
KW  - semantic web
KW  - Social Networks
KW  - tourism
KW  - Traits Analysis
N2  - The travel and tourism industry is flourishing worldwide. It is vital for tourism-related supplier and markers to understand tourist traits in order to target tourism consumers and further assist decision makings. With the development of social networks, tourists published large quantities of travel experiences on social networks where they disclose their traits explicitly and implicitly. In this paper, we design a methodology for tourism traits analysis based on social networks, which includes three components: tourist demographic analysis, tourist social influences analysis, and tourist behavior analysis. Sina Weibo based Chinese tourists in Switzerland analysis is as a case study for our methodology, and different findings are obtained. Those findings are beneficial to tourism-related suppliers and markers to make valuable strategies.  And our proposed methodology could be applied to analyze tourist traits in any social network platform.
ER  -