基于社会网络分析的“山河大学”舆情传播研究  

Research on the public opinion dissemination of"Shanhe University"with social network analysis

作　　者：王允[1] 张雪健 詹艺塬 Wang Yun;Zhang Xuejian;Zhan Yiyuan(School of Mathematics and Statistics,Henan Normal University,Xinxiang 453007,China)

机构地区：[1]河南师范大学数学与统计学院,河南新乡453007

出　　处：《河南师范大学学报(自然科学版)》2025年第2期91-98,共8页Journal of Henan Normal University(Natural Science Edition)

基　　金：国家自然科学基金(61203293);河南师范大学教育科学研究项目(2021JK27).

摘　　要：作为高等教育现实的“晴雨表”,高等教育舆情分析具有重要的学术价值和现实意义.围绕新浪微博“山河大学”舆情信息,锚定其背后的高等教育优质资源空间分布不均衡的问题,运用社会网络分析法进行舆情传播研究.通过密度和中心性等分析,可得网络节点呈现“广而密”的分布特点,且节点间连接度较高,交互性和依赖性均较强,特别容易引起普通用户的注意力和参与度.通过凝聚子群分析,发现网络聚类比较明显,但8个凝聚子群的交互度不高.该网络总体上是单向传播,主要呈现“偶遇机会型”和“多级传播型”传播路径.研究发现社会网络分析法的有效应用可为教育舆情的引导与应对提供针对性的策略和建议.As a barometer of the reality of higher education,the analysis of public opinion in higher education has important academic value and practical significance.This paper focuses on the public opinion information of"Shanhe University"on Sina Weibo,anchors the unbalanced spatial distribution of high-quality higher education resources,and uses social network analysis to study public opinion communication.Through the analysis of density and centrality,it can be found that the network nodes present the characteristics of"wide and dense"distribution,and the connectivity between nodes is high,and the interaction and dependence are strong,especially easy to attract the attention and participation of ordinary users.Through the analysis of coacervation subgroups,it is found that the network clustering is obvious,but the interaction degree of 8 coacervation subgroups is not high.In general,the network is one-way propagation,which mainly presents"chance encounter"and"multi-level propagation"propagation paths.The research shows that the effective application of social network analysis can provide targeted strategies and suggestions for the guidance and response to educational public opinion.

关 键 词：高等教育资源 社会网络分析 山河大学 新浪微博 教育舆情 

分 类 号：C912.63[经济管理]