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<p>The literature on rural revitalization serves as both a record and a witness to the development of rural revitalization in China. This paper outlines rural revitalization literature’s communication mode in the new media environment and proposes a model for its We propose IEOC, an important node group mining algorithm based on information entropy and overlap coefficient, to construct the communication influence model. We also introduce information entropy calculation nodes, measure the overlap of influence using overlap coefficients, and propose a floating probability cascade model, TFIC, to construct the communication influence model of rural revitalization literature combined with the model for analyzing the communication influence of rural revitalization literature, it reveals a moderately low total word frequency of high-frequency words (2332). Out of the 12 rural revitalization literature works under study, only Moon Beach has a communication influence index of more than 1. of more than 1. Compared to other mainstream literature, rural revitalization literature has a communication power of only 1785 and 18369, with fewer high-communication works and high-influence contents. The number of high-impact works and contents is relatively small. Overseas dissemination is characterized by a higher number of Chinese editions than foreign language editions, and there are also shortcomings in translation.</p>
</abstract>

The literature on rural revitalization serves as both a record and a witness to the development of rural revitalization in China. This paper outlines rural revitalization literature’s communication mode in the new media environment and proposes a model for its We propose IEOC, an important node group mining algorithm based on information entropy and overlap coefficient, to construct the communication influence model. We also introduce information entropy calculation nodes, measure the overlap of influence using overlap coefficients, and propose a floating probability cascade model, TFIC, to construct the communication influence model of rural revitalization literature combined with the model for analyzing the communication influence of rural revitalization literature, it reveals a moderately low total word frequency of high-frequency words (2332). Out of the 12 rural revitalization literature works under study, only Moon Beach has a communication influence index of more than 1. of more than 1. Compared to other mainstream literature, rural revitalization literature has a communication power of only 1785 and 18369, with fewer high-communication works and high-influence contents. The number of high-impact works and contents is relatively small. Overseas dissemination is characterized by a higher number of Chinese editions than foreign language editions, and there are also shortcomings in translation.

Study on the Dissemination Mode and Influence of Literature on Rural Revitalization Topics in the New Media Environment

School of Foreign Studies of Guangxi University of Science and Technology

Guangxi University for Science and Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The literature on rural revitalization serves as both a record and a witness to the development of rural revitalization in China. This paper outlines rural...

Study on the Dissemination Mode and Influence of Literature on Rural Revitalization Topics in the New Media Environment

Publié en ligne: 05 août 2024

Pages: -

Reçu: 23 avr. 2024

Accepté: 10 juil. 2024

DOI: https://doi.org/10.2478/amns-2024-2094

Mots clés
Information entropy, Overlap coefficient, Dissemination influence, Floating probability cascade model, Rural revitalization literature

© 2024 Yejin Lin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Study on the Dissemination Mode and Influence of Literature on Rural Revitalization Topics in the New Media Environment

Publié en ligne: 05 août 2024

Pages: -

Reçu: 23 avr. 2024

Accepté: 10 juil. 2024

DOI: https://doi.org/10.2478/amns-2024-2094

Mots clésInformation entropy, Overlap coefficient, Dissemination influence, Floating probability cascade model, Rural revitalization literature

© 2024 Yejin Lin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Information entropy, Overlap coefficient, Dissemination influence, Floating probability cascade model, Rural revitalization literature