RETRACTED: Analysis of Key Factors of College Students' Ideological and Political Education Based on Complex Network (Retracted Article)
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作者:
Lu, WeiPing
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机构:
Yanching Inst Technol, Human Resources Dept, Langfang 065201, Hebei, Peoples R ChinaYanching Inst Technol, Human Resources Dept, Langfang 065201, Hebei, Peoples R China
Lu, WeiPing
[1
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Huo, DeCai
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机构:
Yanching Inst Technol, Ctr Employment Guidance, Langfang 065201, Hebei, Peoples R China
Yanching Inst Technol, Sch Enterprise Cooperat, Langfang 065201, Hebei, Peoples R ChinaYanching Inst Technol, Human Resources Dept, Langfang 065201, Hebei, Peoples R China
Huo, DeCai
[2
,3
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Jia, Sibo
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机构:
Yanching Inst Technol, Int Business Sch, Langfang 065201, Hebei, Peoples R ChinaYanching Inst Technol, Human Resources Dept, Langfang 065201, Hebei, Peoples R China
Jia, Sibo
[4
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机构:
[1] Yanching Inst Technol, Human Resources Dept, Langfang 065201, Hebei, Peoples R China
[2] Yanching Inst Technol, Ctr Employment Guidance, Langfang 065201, Hebei, Peoples R China
[3] Yanching Inst Technol, Sch Enterprise Cooperat, Langfang 065201, Hebei, Peoples R China
[4] Yanching Inst Technol, Int Business Sch, Langfang 065201, Hebei, Peoples R China
Rapid updating and complex network means bringing more development opportunities for the education industry. As for ideological classes and political science at colleges and universities, how to use sophisticated online technology to educate and educate ideological and political classes and improve the formation of ideological and political classes has been a complex theory in the education industry in recent years. Complex network is an abstract representation of complex systems in the real world, with broad research value and application prospects, and has many advantages in complex network research, with interpretability, expression ability, generalization ability, flexibility, etc., and has been used in various network analysis tasks, such as community discovery, link prediction, network representation, and political learning. The second part of this article focuses on (1) the concept of ideological education, (2) the advantages of ideological education, (3) the contradiction of the mode of ideological education, and (4) how to innovate ideological education. The third part proposes the basic characteristics and models of complex networks and proposes the emergence of fractal structures. The fourth part analyzes complex network models in detail and compares the number of points and sides of the real network with the respective irregular networks, indicating that the real world is not fully defined or completely irregular, and that the real network has the nature of a small world and a high-quality cluster. The key factors of complex networks applied propose theoretical and political education and ultimately influence theoretical and political teachers and students in the complex networks examined through empirical questionnaires. He proposes that large universities should be able to use a network environment to promote ideological and political education.
机构:
Zhejiang Normal Univ, Coll Educ, Jinhua 321004, Zhejiang, Peoples R China
Xinzhou Normal Univ, Coll Educ, Xinzhou 034000, Shanxi, Peoples R ChinaZhejiang Normal Univ, Coll Educ, Jinhua 321004, Zhejiang, Peoples R China
Li, Binqiang
Wang, Huizhen
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机构:
Xinzhou Normal Univ, Coll Marxism, Xinzhou 034000, Shanxi, Peoples R ChinaZhejiang Normal Univ, Coll Educ, Jinhua 321004, Zhejiang, Peoples R China
机构:
Qingdao Univ, Sch Literature & Journalism, Qingdao 266071, Shandong, Peoples R ChinaQingdao Univ, Sch Literature & Journalism, Qingdao 266071, Shandong, Peoples R China
Wu, Huanhuan
Ma, Lingang
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机构:
Qingdao Univ, Sch Literature & Journalism, Qingdao 266071, Shandong, Peoples R ChinaQingdao Univ, Sch Literature & Journalism, Qingdao 266071, Shandong, Peoples R China