Outline

Ingegneria Sismica

Ingegneria Sismica

The Patterns, Behavioral Logic, and Solutions of Internet Clustering Behavior of Generational College Students

Author(s): Yingfan Du1
1Zhengzhou University of Economics and Business, Zhengzhou, Henan, 451191, China
Du, Yingfan. “The Patterns, Behavioral Logic, and Solutions of Internet Clustering Behavior of Generational College Students.” Ingegneria Sismica Volume 43 Issue 1: 1-17, doi:10.65102/is2026057.

Abstract

Under the background of rapid development in the new media era, college students’ network clustering behaviors are becoming more and more significant, which has brought impacts on the healthy development of college students. Based on the analysis of the typical characteristics and emotional bias of college students’ network clustering behavior, the article establishes the basic framework of the evolution mechanism of college students’ network clustering behavior. With the support of structural equation modeling, an evolution model of college students’ network clustering behavior is designed to explore the factors affecting the formation of college students’ network clustering behavior. Using the “network stratification” event as a sample, we analyzed the evolution of university students’ network clustering behavior and proposed an optimization path. It is found that the model explains 73.45% of the college students’ network clustering behavior, and the network information elements have a greater influence on the college students’ network clustering behavior, among which the value identity has the most obvious influence (0.479). Therefore, it is necessary to start from the dimensions of controlling the initiative of network field, strengthening the education of network mentality guidance and improving the risk management mechanism of public opinion as a way to better regulate college students’ network clustering behavior.

Keywords
structural equation modeling; evolutionary modeling; college students’ online cluster behavior; optimization paths

Related Articles

Huiqiao Liu1
1Yinchuan University of Energy, Ningxia, 750000, China
Xin Zhao1, Yan Li1, Xiangyang Cao1, Qiushuang Li1, Jianing Zhang1
1State Grid Shandong Electric Power Company Economic and Technological Research Institute ShanDong JiNan 250001, China
Dan Yang1
1School of Marxism, Suzhou Polytechnic University, Suzhou, 215104, China
Liuhang Shen1, Xiangwen Sun1
1Ulster college at Shaanxi University of Science &Technology, Xi’an,710021, Shaanxi, China