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.
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