Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

November 18, 2024


Pages


DOI

Article

Information flow and data-driven analysis of cross-cultural communication in the Chinese cultural community

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Authors

Linting Su Affiliation:
Guilin Tourism University, Guilin, Guangxi, 541006, China.
, Cheng Wang Affiliation:
Guangxi Construction Vocational and Technical College, Guilin, Guangxi, 530003, China.
and Jian Su Affiliation:
Guilin Tourism University, Guilin, Guangxi, 541006, China.


Abstract

The rapid development of the Internet also provides the possibility of information flow for cross-cultural communication, and the network not only breaks through the boundaries of time and space but also breaks through the limitations of cultural communication barriers. The study analyzes the influence mechanism of cross-cultural communication through the medium of social networks. A series of characteristics are proposed to characterize the flow of information, and a simulation experiment is carried out on the influencing factors of cross-cultural communication using the infectious disease model (SEIR). We utilize the Twitter dataset of real social networks to examine the effectiveness of the proposed SEIR model of information dissemination and verify its accuracy. The simulation experiment analyzes the influence of the containment mechanism, the time lag mechanism, and the forgetting mechanism on the model of information dissemination in cross-cultural communication, and information dissemination does not occur when R0 1, the cross-cultural communication information will be continuously and stably spread in the social network. This paper’s SEIR model has a positive effect on the dissemination of cross-cultural communication information, as evidenced by the results.


Keywords

SEIR model, Intercultural communication, Social network, Information dissemination, 94A16


Citation

Su, L., Wang, C., & Su, J. (2024). Information flow and data-driven analysis of cross-cultural communication in the chinese cultural community. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-3334

Published by: Engineering Journals

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