Study on the Spatial and Temporal Characteristics of Weibo Users’ Online Shopping Festival Concerns: A Case Study of “Double 11 Shopping Carnival”
Online shopping festivals have become powerful ways for major e-commerce platforms to conduct promotions. To explore the rule and hidden information of the change of users’ attention to online shopping festivals, it can provide scientific and effective marketing reference, and promote the sustainabl...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/46/e3sconf_icmsem2023_03005.pdf |
| _version_ | 1827878763047682048 |
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| author | Teng Geer Liu Jia Wen Lijun He Yue Jiang Xiaoyi |
| author_facet | Teng Geer Liu Jia Wen Lijun He Yue Jiang Xiaoyi |
| author_sort | Teng Geer |
| collection | DOAJ |
| description | Online shopping festivals have become powerful ways for major e-commerce platforms to conduct promotions. To explore the rule and hidden information of the change of users’ attention to online shopping festivals, it can provide scientific and effective marketing reference, and promote the sustainable development of online shopping festivals. This paper takes the “Double 11” online shopping festival as the research object. Based on the LDA+LSA+NMF integrated theme extraction model, kernel density analysis, grouping analysis and cluster outlier analysis in ArcGIS technology are adopted. We explore the evolution pattern of microblog users’ attention to the online shopping festival in the spatial and temporal dimensions. In the temporal dimension, the number of releases showed a stepwise increase, and concerns showed annual topic evolution and daily three-stage differential evolution. In the spatial dimension, the release volume showed a gradient decreasing trend from coastal to inland and from east to west, and concerns showed certain regional differences. The main contribution of this paper is to propose a funnel theme extraction model with multi-model integration, and provide a new perspective for the spatial research of online shopping festival based on ArcGIS spatial analysis technology. |
| first_indexed | 2024-03-12T17:57:12Z |
| format | Article |
| id | doaj.art-28acaa5854f240aabdf2b2849feb835a |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-12T17:57:12Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-28acaa5854f240aabdf2b2849feb835a2023-08-02T13:21:22ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014090300510.1051/e3sconf/202340903005e3sconf_icmsem2023_03005Study on the Spatial and Temporal Characteristics of Weibo Users’ Online Shopping Festival Concerns: A Case Study of “Double 11 Shopping Carnival”Teng Geer0Liu Jia1Wen Lijun2He Yue3Jiang Xiaoyi4Business School, Sichuan UniversityBusiness School, Sichuan UniversityBusiness School, Sichuan UniversityBusiness School, Sichuan UniversityDepartment of Mathematics and Computer Science, University of MunsterOnline shopping festivals have become powerful ways for major e-commerce platforms to conduct promotions. To explore the rule and hidden information of the change of users’ attention to online shopping festivals, it can provide scientific and effective marketing reference, and promote the sustainable development of online shopping festivals. This paper takes the “Double 11” online shopping festival as the research object. Based on the LDA+LSA+NMF integrated theme extraction model, kernel density analysis, grouping analysis and cluster outlier analysis in ArcGIS technology are adopted. We explore the evolution pattern of microblog users’ attention to the online shopping festival in the spatial and temporal dimensions. In the temporal dimension, the number of releases showed a stepwise increase, and concerns showed annual topic evolution and daily three-stage differential evolution. In the spatial dimension, the release volume showed a gradient decreasing trend from coastal to inland and from east to west, and concerns showed certain regional differences. The main contribution of this paper is to propose a funnel theme extraction model with multi-model integration, and provide a new perspective for the spatial research of online shopping festival based on ArcGIS spatial analysis technology.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/46/e3sconf_icmsem2023_03005.pdfonline shopping festivaltheme analysisspatial-temporal feature analysistext mining |
| spellingShingle | Teng Geer Liu Jia Wen Lijun He Yue Jiang Xiaoyi Study on the Spatial and Temporal Characteristics of Weibo Users’ Online Shopping Festival Concerns: A Case Study of “Double 11 Shopping Carnival” E3S Web of Conferences online shopping festival theme analysis spatial-temporal feature analysis text mining |
| title | Study on the Spatial and Temporal Characteristics of Weibo Users’ Online Shopping Festival Concerns: A Case Study of “Double 11 Shopping Carnival” |
| title_full | Study on the Spatial and Temporal Characteristics of Weibo Users’ Online Shopping Festival Concerns: A Case Study of “Double 11 Shopping Carnival” |
| title_fullStr | Study on the Spatial and Temporal Characteristics of Weibo Users’ Online Shopping Festival Concerns: A Case Study of “Double 11 Shopping Carnival” |
| title_full_unstemmed | Study on the Spatial and Temporal Characteristics of Weibo Users’ Online Shopping Festival Concerns: A Case Study of “Double 11 Shopping Carnival” |
| title_short | Study on the Spatial and Temporal Characteristics of Weibo Users’ Online Shopping Festival Concerns: A Case Study of “Double 11 Shopping Carnival” |
| title_sort | study on the spatial and temporal characteristics of weibo users online shopping festival concerns a case study of double 11 shopping carnival |
| topic | online shopping festival theme analysis spatial-temporal feature analysis text mining |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/46/e3sconf_icmsem2023_03005.pdf |
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