Change and stability in shopping tourist destination networks: The case of Seoul in Korea

The results of this study are as follows: (1) this study reveals shopping tourists' attraction preference through centrality analysis. The attractions that shopping tourists visited encompass both shopping and non-shopping areas; (2) Sinchon/Hongik University and Namsan Hanok Village were identified as increasingly popular attractions for shopping tourists; (3) Gini coefficients of degree distribution for shopping tourists' attraction networks were higher over the three-year period compared with those of general tourists, indicating that the former choose tourist attractions in a homogeneous manner; and (4) Attraction networks followed the power law in 2013 but not in 2014 and 2015.