Xu, M., Huang, Z.F., Cao, F.D. and Zhu, H.Z. (2018) The Network Structure Features and Influence Factors of Tourism Flows Based on Online Data Analysis—Taking the Yangtze River Delta Region as an Example. Economic Geography, No. 6, 194-202.

has been cited by the following article:

• TITLE: Seasonal Characteristics of Tourism Flow Network Structure in Guangdong Residents from the Perspective of Social Network

  AUTHORS: Zhongyu Wang, Yi Liu

  KEYWORDS: Tourism Flow, Network Structure, Social Network Analysis

  JOURNAL NAME: Open Journal of Business and Management, Vol.8 No.2, March 17, 2020

  ABSTRACT: Based on the Baidu index of 4A and 5A scenic spots in Guangdong province, this research obtained the data of residents’ attention to the network of scenic spots in Guangdong province, and used the social network analysis method to explore the seasonal characteristics of residents’ tourism flow network structure in Guangdong province. The results show that: 1) There are seasonal differences in the output and input capacity of tourism flow in node cities within the tourism flow network of residents in Guangdong province, and the control effect of core node cities on other cities is most prominent in winter. 2) The “core-edge” structure of the tourism flow network of residents in Guangdong province has obvious seasonal characteristics. From spring to winter, the interaction between node cities in the core region is gradually weakened and then strengthened. 3) In the tourism flow network of residents in Guangdong province, the roles of tourist destinations and tourist sources of each section will change in different seasons, and there are seasonal differences in the flow directions and flows of tourist sources among sections.