Combining Big Data Analysis to Study on the Spatial Structure of the Tourism Economy in the Three Northeast Provinces of China

DOI

10.2991/978-94-6463-010-7_33How to use a DOI?

Keywords

Big Data; The Modified Gravity Model; Social Network Analysis Method; Tourism Economy

Abstract

Taking the digital economy under big data as the starting point, the article studies the network structure of tourism economy in the three eastern provinces, combining the gravitational model, social network analysis method and big data analysis method, by constructing the gravitational model to analyse and predict the spatial interaction ability between each city, after that, on the basis of obtaining the big data of 25 cities in the three northeastern provinces of China, the tourism economic linkage degree between each city in the three northeastern provinces is calculated, and the tourism economic linkage matrix, and then introduced the tourism economic linkage matrix into Ucinet software and used the method of social network analysis to analyse the network structure of the tourism economy in the three northeastern provinces of China. The results of the big data analysis found that the tourism economy of the three northeastern provinces of China is generally loose, and the top five cities with tourism economic linkages in the three northeastern provinces are Shenyang, Changchun, Jilin, Harbin and Dalian, and most of these cities are the capital cities of the three eastern provinces, according to which, it is recommended that the overall tourism economic development adopt a “core-led edge” development model.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Fuxiang Liu
AU  - Liqin Jiang
PY  - 2022
DA  - 2022/12/02
TI  - Combining Big Data Analysis to Study on the Spatial Structure of the Tourism Economy in the Three Northeast Provinces of China
BT  - Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
PB  - Atlantis Press
SP  - 320
EP  - 329
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-010-7_33
DO  - 10.2991/978-94-6463-010-7_33
ID  - Liu2022
ER  -