2020
DOI: 10.1109/access.2020.3044613
|View full text |Cite
|
Sign up to set email alerts
|

Tourism Flow Between Major Cities During China’s National Day Holiday: A Social Network Analysis Using Weibo Check-in Data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
9
0
1

Year Published

2021
2021
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 18 publications
(10 citation statements)
references
References 47 publications
0
9
0
1
Order By: Relevance
“…Tourism flow is the link between the origin and destination and is at the core of tourism research. Scholars from different fields, such as tourism, geography, and sociology, have conducted numerous discussions on it, and the relevant studies have mainly focused on the flow prediction of tourism flow [21][22][23], spatial distribution [24,25], influencing factors [26,27], network structure [28,29], tourism destination management [30], and tourist behavioral perceptions [31]. Research scales focus on large spatial scales such as international, regional, provincial, and intra-city levels [32][33][34][35][36][37], and research methods such as GIS analysis and social network analysis are widely used in tourism flow research [38,39].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Tourism flow is the link between the origin and destination and is at the core of tourism research. Scholars from different fields, such as tourism, geography, and sociology, have conducted numerous discussions on it, and the relevant studies have mainly focused on the flow prediction of tourism flow [21][22][23], spatial distribution [24,25], influencing factors [26,27], network structure [28,29], tourism destination management [30], and tourist behavioral perceptions [31]. Research scales focus on large spatial scales such as international, regional, provincial, and intra-city levels [32][33][34][35][36][37], and research methods such as GIS analysis and social network analysis are widely used in tourism flow research [38,39].…”
Section: Literature Reviewmentioning
confidence: 99%
“…But before the spread of internet technology (e.g., cloud computing [7] ) and social media, this information was mainly obtained through public institutions, travel books or resources [8] . Social media shows good interactivity and timeliness, making users more willing to share their lives on social media platforms [9] , [10] . This also makes social media the main carrier of the digital media era and has been widely recognized and supported by the society [11] , [12] .…”
Section: Introductionmentioning
confidence: 99%
“…The second refers to mobile signaling data [12]. The third refers to social network data containing location information based on network data mining, such as Weibo check-in data [13] and Baidu index data [14]. Among many, Baidu has been seen as one of the most popular location-based services (LBS) providers in China.…”
Section: Introductionmentioning
confidence: 99%