Fig 1.
Spatial distribution of national forest parks in China.
The map was created using QGIS software. The base map shapefiles were generalized from publicly available administrative boundary data, including Natural Earth (http://www.naturalearthdata.com/), which is in the public domain.
Fig 2.
Search route of data collection.
Fig 3.
Rank-size structure of users’ network attention of Douyin-Followers Count.
Fig 4.
Rank-size structure of users’ network attention of Douyin-Likes Count.
Table 1.
Structural characteristics of douyin social media data for national forest parks.
Fig 5.
Rank-size structure of users’ network attention of Douyin-Content Creation Count.
Fig 6.
Spatial distribution of attention of national forest park network based on Followers Count.
The map was created using QGIS software. The base map shapefiles were generalized from publicly available administrative boundary data, including Natural Earth (http://www.naturalearthdata.com/), which is in the public domain.
Fig 7.
Spatial distribution of attention of national forest park network based on Likes Count.
The map was created using QGIS software. The base map shapefiles were generalized from publicly available administrative boundary data, including Natural Earth (http://www.naturalearthdata.com/), which is in the public domain.
Fig 8.
Spatial distribution of attention of national forest park network based on Content Creation Count.
The map was created using QGIS software. The base map shapefiles were generalized from publicly available administrative boundary data, including Natural Earth (http://www.naturalearthdata.com/), which is in the public domain.
Table 2.
Indicator system of influencing factors.
Fig 9.
Ridge trace plot of the ridge regression for the influencing factors of Network Attention on national forest parks.
Table 3.
Results of influencing factors by interactive detection.