%0 Journal Article
%T 大数据赋能高校网络群体性事件引导的策略探究<br>Research on the Strategy of Empowering University Network Group Incident Guidance with Big Data
%A 杨璐
%A 李芳
%J Advances in Social Sciences
%P 70-74
%@ 2169-2564
%D 2025
%I Hans Publishing
%R 10.12677/ass.2025.145369
%X 通过多源异构性数据的整合与处理&#65292;高校网络群体性事件实现了从传统干预向虚拟特性精准分析和趋势发展精准追踪的转变&#65292;有效提升了高校网络群体事件预防的实效性和引导的科学性。文章以高校网络群体性事件为核心&#65292;结合大数据概念和高校网络群体性事件内涵&#65292;深入分析大数据赋能高校网络群体性事件引导的重要意义&#65292;提出行之有效的策略&#65292;为解决高校网络群体性事件提供有益的参考与借鉴。<br>Through the integration and processing of multi-source heterogeneous data, college network group incidents have realized the transformation from traditional intervention to accurate analysis of virtual characteristics and accurate tracking of trend development, which effectively improves the effectiveness and guidance of college network group incident prevention. This paper takes college network group events as the core, combines the concept of big data and the connotation of college network group events, deeply analyzes the significance of big data enabling college network group events guidance, and puts forward effective strategies to provide useful reference for solving college network group events.
%K 大数据&#65292
%K 高校网络群体性事件引导&#65292
%K 策略<br>Big Data
%K University Network Group Incident Guidance
%K Strategy
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=114108