Social Network-Based Folk Culture Propagation in the Digital Age: Analyzing Dissemination Mechanisms and Influential Factors

被引:0
|
作者
Li, Zhaojin [1 ]
Jiang, Fugao [1 ]
Zhong, Weiyi [2 ]
Yan, Chao [3 ]
机构
[1] Qufu Normal Univ, Dept Exercise Sci & Sports Studies, Qufu 273100, Peoples R China
[2] Qufu Normal Univ, Sch Engn, Rizhao 276826, Peoples R China
[3] Qufu Normal Univ, Sch Comp Sci, Rizhao 276826, Peoples R China
来源
TSINGHUA SCIENCE AND TECHNOLOGY | 2025年 / 30卷 / 02期
关键词
Weight measurement; Social networking (online); Social groups; Social network theory; Resource management; folklore culture; dissemination; embedding representations; social relationships; influential factors; FAKE NEWS; CLASSIFICATION; RECOMMENDATION; DYNAMICS;
D O I
10.26599/TST.2024.9010049
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The rapid development of the internet has ushered the real world into a "media-centric" digital era where virtually everything serves as a medium. Leveraging the new attributes of interactivity, immediacy, and personalization facilitated by online communication, folklore has found a broad avenue for dissemination. Among these, online social networks have become a vital channel for propagating folklore. By using social network theory, we devise a comprehensive approach known as SocialPre. Firstly, we utilize embedding techniques to capture users' low-level and high-level social relationships. Secondly, by applying an automatic weight assignment mechanism based on the embedding representations, multi-level social relationships are aggregated to assess the likelihood of a social interaction between any two users. These experiments demonstrate the ability to classify different social groups. In addition, we delve into the potential directions of folklore evolution, thus laying a theoretical foundation for future folklore communication.
引用
收藏
页码:894 / 907
页数:14
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