Social Network Analysis on Tourist Perception of Museum Tourism
- DOI
- 10.2991/assehr.k.201214.192How to use a DOI?
- Keywords
- tourism management, web text analysis, tourist perception, museum
- Abstract
Based on the comments of museum tourists, social network-based tourist perception analysis is conducted for tourists in different types of museums. This paper collects the evaluative text information of museum tourists on dianping.com, and analyzes these comments of museum tourists by using high frequency words and structural homomorphism to find out the key factors that affect the development of museum tourism. The research shows that tourists have formed certain brand awareness about museums in Shaanxi Province as a whole, showing the cognition and definition around the profound historical and cultural deposits. Combined with the structural homomorphism of high frequency words used by museum tourists, this paper makes a comparative analysis of different types of museums, and finally gives the support for making decisions on the development of museums around the three dimensions of the exhibition contents, the tourist experience and tour modes.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yan Shi AU - Yuan Gao PY - 2020 DA - 2020/12/16 TI - Social Network Analysis on Tourist Perception of Museum Tourism BT - Proceedings of the 2020 6th International Conference on Social Science and Higher Education (ICSSHE 2020) PB - Atlantis Press SP - 1001 EP - 1004 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.201214.192 DO - 10.2991/assehr.k.201214.192 ID - Shi2020 ER -