基于微博社区的大学生情绪语义网络结构挖掘

目的探讨新媒体时代下的大学生情绪风险管理对策。方法选取大学生在微博社交平台上的发言、回复等作为样本数据,通过UCINET构建出大学生情绪语义网络,再从整体网网络密度、中心性和情绪、行为、结构的对比分析对语义网络进行结构挖掘。结果 (1)在大学生情绪语义网络中,影响因素主要分为学习与考试。学业、毕业与社会、手机控、集体与人际关系四个派系。(2)四大派系的情绪传染与发散、行为表现与结构均存在差异性。结论本研究对于大学生情绪管理与把控有一定启示意义,对于加强社会安全风险管理和大学生教育的发展提供了一定程度的理论指导。

The Structure Mining of College Students' Emotional Semantic Network Based On Micro-blog Community

Objective New trend and construction about college students' emotion have been aroused under the new media era.Methods This study selects college students' presentation and reply on the internet community as the sample data.By using the UCINET,this study built the college students' semantic network at first.Secondly,this study excavated the construction about college students'semantic network by comparing the density,centrality,behavior,construction and emotion.Results The results shows that there are two main conclusions there.Firstly,the factors effecting college students'emotion can be divided to four main groups in college students'semantic net.Secondly,those four groups' emotion spreading and divergent,behavior and construction are all having diversity.Conclusion Finally,this study will make sense in college students' emotion regulation and management,it can also provide theory guidance in strengthening social security risk management and developing college students'education.