An Analysis of the Influence of Complex Networks in Cross-Cultural Communication. (21st August 2022)

• Record Type: Journal Article
• Authors: Meng, Yun
• Other Names: Fan Yaxiang Academic Editor.
• Is Part Of: Journal of sensors. Volume 2022(2022)
• Publication Date: 2022-08-21
• Subjects: Detectors -- Periodicals; 681.205
• DOI: 10.1155/2022/3868836
• Languages: English
• ISSNs: 1687-725X

Abstract

Abstract : With the in-depth exchanges in various aspects such as global politics, economy and trade, and cultural exchanges, improving the cultural status of the Chinese nation has become a major strategic goal of the Chinese nation. In order to better pass on Chinese culture and to truly improve the effectiveness and influence of Chinese culture in international publicity, Chinese culture needs to gradually explore effective cross-language cultural communication methods and strategies to comprehensively improve Chinese culture in cross-language cultural exchange strength on the stage of global traditional cultural exchange. On the basis of analyzing the current situation of cross-cultural communication, the article studies the promoting effect of complex networks on cross-cultural communication. The results of the article show that (1) the influence of complex networks on cultural communication is relatively significant, and the complex network communication model is used. After that, the communicative competence of the three groups has been greatly improved, and among them, the group with the rapid growth of cultural level has the greatest room for growth. (2) The point-degree centrality of organizational relationship is 10, which is relatively high, indicating that organizational relationship is in the middle position among the influencing factors, and the value orientation has a strong mediating effect. (3) The propagation efficiency of the complex network model is the highest. With the increase of the time series, the propagation efficiency will also increase. The propagation efficiency of the complex network propagation model can reach 85%. When the number of nodes is 5000, the propagation efficiency of cultural information can reach 80%.