大数据背景下人类命运共同体与社会主义核心价值观的时代价值与传播路径研究

IF 3.1 Q1 Mathematics
Li Ren, Liu Yang
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引用次数: 0

摘要

摘要本文分析了社会主义核心价值观,探讨了大数据背景下社会主义核心价值观的当代特征和价值取向。在此基础上,为了更好地践行社会主义核心价值观,通过大数据的传播路径,结合信念传播算法和关联效应,构建基于知识图谱改进的节点影响力传播NIP模型,实现社会主义核心价值观的传播。同时,对本文构建的算法进行性能验证实验,探索社会主义核心价值传播效果和时代价值。结果表明,国家层面和个人层面的影响范围分别与1200和1190大致相同,均略高于1000的个人影响范围,国家、社会和个人的传播时间分别在150s、200s和300s以内。对西方意识形态的抵抗力提高了0.13,对社会主义理论的深化提高了0.09,对构建世界价值体系的进程提高了0.06。基于本文,对时间价值和传播路径的研究对社会主义的发展具有积极的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Era Value and Communication Path of Human Destiny Community and Socialist Core Values in the Context of Big Data
Abstract This paper analyzes the socialist core values and explores the contemporary characteristics and values of socialist core values under the background of big data. On this basis, in order to better practice the socialist core values, through the communication path of big data, combined with the belief propagation algorithm and the association effect, it constructs a node influence propagation NIP model based on the improvement of knowledge graph to realize the propagation of socialist core values. At the same time, the algorithm constructed in this paper is subjected to performance verification experiments, and the effect of socialist core value dissemination and the value of the times are explored. The results show that the influence range of the national level and the individual level are roughly the same as 1200 and 1190, respectively, both slightly higher than the individual influence range of 1000, and the propagation time of the state, society and individual is within 150s, 200s and 300s respectively. Resistance to Western ideology rose by 0.13, the deepening of socialist theory grew by 0.09, and the process of constructing a world value system increased by 0.06. Based on this paper, the study of the value of time and the path of dissemination has a positive impact on the development of socialism.
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来源期刊
Applied Mathematics and Nonlinear Sciences
Applied Mathematics and Nonlinear Sciences Engineering-Engineering (miscellaneous)
CiteScore
2.90
自引率
25.80%
发文量
203
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