Research on spatial-temporal characteristics of network attention of Zunyi conference site based on Baidu index

Hong Yu

doi:10.1117/12.2631113

18 March 2022 Research on spatial-temporal characteristics of network attention of Zunyi conference site based on Baidu index

Hong Yu

Author Affiliations +

Proceedings Volume 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021); 121682R (2022) https://doi.org/10.1117/12.2631113
Event: International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 2021, Harbin, China

Abstract

Taking Zunyi conference site as an example, this paper studies the spatial and temporal distribution characteristics of tourism network attention of Zunyi conference site in 2019 by using seasonal intensity index. The findings are as follows: 1.) In 2019, the network attention of Zunyi Conference site generally showed an upward trend, with the largest increase in June-August, and the largest increase in the Spring Festival, May Day and November Day during holidays. 2.) There are obvious spatial and regional differences in the attention of Zunyi Conference site network, mainly distributed in southwest China, especially in Guizhou Province and surrounding provinces and cities. 3.) Most tourists who pay attention to Zunyi Conference site are young tourists aged 20-39, and male tourists pay more attention than female tourists.

Citation Download Citation

Hong Yu "Research on spatial-temporal characteristics of network attention of Zunyi conference site based on Baidu index", Proc. SPIE 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 121682R (18 March 2022); https://doi.org/10.1117/12.2631113

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