<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Character styling design can clearly show the background of story characters and the characteristics of the times in the performance of stage plays. Integrating traditional culture with the art of stage plays is important for developing theatrical communication. In this paper, we analyze the factors that impact theatrical communication in the context of big data. Based on the original innovation diffusion model, it analyzes the limitations of its application, analyzes the innovation characteristics of theatrical stage makeup modeling from a qualitative perspective, finds that its diffusion characteristics do not conform to the prerequisite assumptions of the original innovation diffusion model, and confirms the improvement direction of the innovation diffusion model. Based on the analysis of audience data by the full data analysis method, the main influencing factors affecting the diffusion of opera heritage are identified, and their practical significance in the improved model is analyzed. The original innovation diffusion model is improved quantitatively, and an iterative diffusion model is established. Empirical analysis of the iterative diffusion model was conducted using the actual diffusion data of opera stage makeup styling. The research results show that the initial diffusion rates of the products are, in descending order, Cheese Superman, TikTok, Watermelon Video, and Punchbowl. Among them, the cumulative diffusion of TikTok is the highest at 14, and the diffusion rate of Watermelon Video is 0.68. It indicates that the above products effectively spread opera culture and highlight the charm of opera stage makeup styling.</p>
</abstract>

Character styling design can clearly show the background of story characters and the characteristics of the times in the performance of stage plays. Integrating traditional culture with the art of stage plays is important for developing theatrical communication. In this paper, we analyze the factors that impact theatrical communication in the context of big data. Based on the original innovation diffusion model, it analyzes the limitations of its application, analyzes the innovation characteristics of theatrical stage makeup modeling from a qualitative perspective, finds that its diffusion characteristics do not conform to the prerequisite assumptions of the original innovation diffusion model, and confirms the improvement direction of the innovation diffusion model. Based on the analysis of audience data by the full data analysis method, the main influencing factors affecting the diffusion of opera heritage are identified, and their practical significance in the improved model is analyzed. The original innovation diffusion model is improved quantitatively, and an iterative diffusion model is established. Empirical analysis of the iterative diffusion model was conducted using the actual diffusion data of opera stage makeup styling. The research results show that the initial diffusion rates of the products are, in descending order, Cheese Superman, TikTok, Watermelon Video, and Punchbowl. Among them, the cumulative diffusion of TikTok is the highest at 14, and the diffusion rate of Watermelon Video is 0.68. It indicates that the above products effectively spread opera culture and highlight the charm of opera stage makeup styling.

On the improvement, innovation and inheritance of stage makeup styling in opera under the background of big data

Applied Mathematics and Nonlinear Sciences

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

Character styling design can clearly show the background of story characters and the characteristics of the times in the performance of stage plays....

On the improvement, innovation and inheritance of stage makeup styling in opera under the background of big data

Data publikacji: 28 kwi 2023

Zakres stron: -

Otrzymano: 12 kwi 2022

Przyjęty: 17 lip 2022

DOI: https://doi.org/10.2478/amns.2023.1.00066

Słowa kluczowe
Big data background, On opera stage, Makeup modeling, Innovation diffusion model, Iterative diffusion model

© 2023 Yuqi Zhao, published by Sciendo

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

On the improvement, innovation and inheritance of stage makeup styling in opera under the background of big data

Data publikacji: 28 kwi 2023

Zakres stron: -

Otrzymano: 12 kwi 2022

Przyjęty: 17 lip 2022

DOI: https://doi.org/10.2478/amns.2023.1.00066

Słowa kluczoweBig data background, On opera stage, Makeup modeling, Innovation diffusion model, Iterative diffusion model

© 2023 Yuqi Zhao, published by Sciendo

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

Słowa kluczowe
Big data background, On opera stage, Makeup modeling, Innovation diffusion model, Iterative diffusion model