Exploring the Flux of Cherry Blossom Imagery in Japanese Literature and Culture by Combining Social Network Analysis Methods
This paper combines the LDA theme mining model with social network algorithms to construct an objective evaluation model for the imagery of cherry blossoms in Japanese literature and culture. To determine the number of topics, one needs to observe the change in perplexity degree for various numbers...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
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| Online Access: | https://doi.org/10.2478/amns-2024-0304 |
| _version_ | 1797303111441711104 |
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| author | Han Meizi |
| author_facet | Han Meizi |
| author_sort | Han Meizi |
| collection | DOAJ |
| description | This paper combines the LDA theme mining model with social network algorithms to construct an objective evaluation model for the imagery of cherry blossoms in Japanese literature and culture. To determine the number of topics, one needs to observe the change in perplexity degree for various numbers of topics. The degree of influence of surrounding nodes on this node is measured using in-degree and out-degree, and the degree of closeness between users in social networks is measured using the clustering coefficient. Based on the network data, we analyzed Japanese literary works related to cherry blossoms and readers’ comments on related literary review websites, followed by analyzing the rate of microblog retweets when a hot literary work was published to determine the theme density. In the beginning, Topic 1, which represents positivity, has the highest theme intensity of 0.2581, indicating that the imagery of cherry blossoms is skewed toward the positive in the minds of readers and netizens. Following the emergence of hot literature, the spread of Topic2, which is associated with negativity, reached its peak, with a density that reached as high as 2235721 times. At this time, the highest high-frequency words are death 5827 times, and poignant 5748 times, all of which are negative meanings, and the theme intensity of Topic 2 is 0.2992. The impression of people can be negatively impacted by cherry blossoms. By constructing a model for literary analysis of imagery, this paper serves as a reference and presents a new direction for textual research. |
| first_indexed | 2024-03-07T23:48:12Z |
| format | Article |
| id | doaj.art-78733d0583664781bb625bdd351dc581 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-07T23:48:12Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-78733d0583664781bb625bdd351dc5812024-02-19T09:03:37ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns-2024-0304Exploring the Flux of Cherry Blossom Imagery in Japanese Literature and Culture by Combining Social Network Analysis MethodsHan Meizi01Qiqihar University, Qiqihar, Heilongjiang, 161000, China.This paper combines the LDA theme mining model with social network algorithms to construct an objective evaluation model for the imagery of cherry blossoms in Japanese literature and culture. To determine the number of topics, one needs to observe the change in perplexity degree for various numbers of topics. The degree of influence of surrounding nodes on this node is measured using in-degree and out-degree, and the degree of closeness between users in social networks is measured using the clustering coefficient. Based on the network data, we analyzed Japanese literary works related to cherry blossoms and readers’ comments on related literary review websites, followed by analyzing the rate of microblog retweets when a hot literary work was published to determine the theme density. In the beginning, Topic 1, which represents positivity, has the highest theme intensity of 0.2581, indicating that the imagery of cherry blossoms is skewed toward the positive in the minds of readers and netizens. Following the emergence of hot literature, the spread of Topic2, which is associated with negativity, reached its peak, with a density that reached as high as 2235721 times. At this time, the highest high-frequency words are death 5827 times, and poignant 5748 times, all of which are negative meanings, and the theme intensity of Topic 2 is 0.2992. The impression of people can be negatively impacted by cherry blossoms. By constructing a model for literary analysis of imagery, this paper serves as a reference and presents a new direction for textual research.https://doi.org/10.2478/amns-2024-0304lda topic miningperplexitysocial network algorithmtopic densitycherry blossom imagery00a73 |
| spellingShingle | Han Meizi Exploring the Flux of Cherry Blossom Imagery in Japanese Literature and Culture by Combining Social Network Analysis Methods Applied Mathematics and Nonlinear Sciences lda topic mining perplexity social network algorithm topic density cherry blossom imagery 00a73 |
| title | Exploring the Flux of Cherry Blossom Imagery in Japanese Literature and Culture by Combining Social Network Analysis Methods |
| title_full | Exploring the Flux of Cherry Blossom Imagery in Japanese Literature and Culture by Combining Social Network Analysis Methods |
| title_fullStr | Exploring the Flux of Cherry Blossom Imagery in Japanese Literature and Culture by Combining Social Network Analysis Methods |
| title_full_unstemmed | Exploring the Flux of Cherry Blossom Imagery in Japanese Literature and Culture by Combining Social Network Analysis Methods |
| title_short | Exploring the Flux of Cherry Blossom Imagery in Japanese Literature and Culture by Combining Social Network Analysis Methods |
| title_sort | exploring the flux of cherry blossom imagery in japanese literature and culture by combining social network analysis methods |
| topic | lda topic mining perplexity social network algorithm topic density cherry blossom imagery 00a73 |
| url | https://doi.org/10.2478/amns-2024-0304 |
| work_keys_str_mv | AT hanmeizi exploringthefluxofcherryblossomimageryinjapaneseliteratureandculturebycombiningsocialnetworkanalysismethods |