Abstract
With the development of China's economy, great changes have taken place in various fields. Drama, film and television performing arts have also been richly presented on the TV screen, which has greatly enriched people's spiritual life. In this development process, the research on the theory of drama, film and television performance art can also promote the actual development. Based on this, this paper analyzes the communication path and impact of drama, film and television performance in the era of big data, and analyzes the artistic differences between them in detail, hoping to play a guiding role in the development of this field.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zhu, D.: Understanding and analysis of drama performance and film and television performance. Orient. Corp. Cult. 16, 262–263 (2011)
Zhong, M.: Field investigation and analysis of folk drama, song and dance, film and television performance. Drama Art 03, 60–69 (2005)
Cao, J.: On the “separation” and “combination” of film and television performance and drama performance. J. Jilin Inst. Educ. (late) 04, 147–148 (2015)
Liu, S.: Exploration on the application of multiple thinking in drama, film and television performance teaching in colleges and universities. Popular Lit. Art 02, 244 (2016)
Dyn, N., Levin, D.: Subdivision schemes in geometric modelling. Acta Numer. 11, 73–144, (2002)
Conti, C., Hormann, K.: Polynomial reproduction for univariate subdivision schemes of any arity. J. Approx. Theory 163(4), 413–437 (2011)
Hameed, R., Mustafa, G.: “Family of a -point b -ary subdivision schemes with bell-shaped mask. Appl. Math. Comput. 309, 289–302 (2017)
Feng, Y., Yu, X., Wang, G.G.: A novel monarch butterfly optimization with global position updating operator for large-scale 0-1 knapsack problems. Mathematics 7(11), 1056 (2019)
Sun, L., Chen, S., Xu, J., Tian, Y.: Improved monarch butterfly optimization algorithm based on opposition-based learning and random local perturbation. Complexity 2019, Article ID 4182148 (2019)
Pasupuleti, V., Balaswamy, C.: Performance analysis of fractional earthworm optimization algorithm for optimal routing in wireless sensor networks. ICST Trans. Scalable Inf. Syst. 8(32), Article ID 169419 (2018)
Li, J., Lei, H., Alavi, A.H., Wang, G.-G.: Elephant herding optimization: variants, hybrids, and applications. Mathematics 8(9), 1415 (2020)
Li, Y., Zhu, X., Liu, J.: An improved moth-flame optimization algorithm for engineering problems. Symmetry 12(8), 1234 (2020)
Liu, H., Tang, A.D., Tang, S.Q., Han, T., Zhou, H., Xie, L.: A Modified slime mould algorithm for global optimization. Comput. Intell. Neurosci. 2021, Article ID 2298215 (2021)
Yang, Y., Chen, H., Heidari, A.A., Gandomi, A.H.: Hunger games search: visions, conception, implementation, deep analysis, perspectives, and towards performance shifts. Expert Syst. Appl. 177, Article ID 114864 (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Zhang, Y. (2023). Communication Path and Influence Analysis of Drama, Film and Television Performance of Data Technology. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-031-23947-2_54
Download citation
DOI: https://doi.org/10.1007/978-3-031-23947-2_54
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-23946-5
Online ISBN: 978-3-031-23947-2
eBook Packages: Computer ScienceComputer Science (R0)