大数据视域下高校网络舆情管理的新模式

A new mode of university network opinions management in the perspective of macro data

立足大数据的视野,通过"社会关系网络"和"心理文化地图"阐述高校网络舆情管理的关联度内涵和"减压阀"功效,对覆盖全样本相比较传统抽样的优势进行解读,重点剖析了舆情管理由监测转向预警乃至预测的核心功能,并介绍其专业化要求和集约化发展方向等。在体现大数据视域下高校网络舆情管理新模式的同时,为大数据时代如何建设和谐校园,创造良好的网络舆论环境提出了"相关关系"发掘、"舆情领袖"筛选、"舆情研判"步骤、"数据信息"安全、"数据服务"应用等具体对策。

The connotation of correlation and the effect of depressurized valve of University network opioions management are discussed via ＂social correlation network＂ and ＂psychological cultural map＂ based on macro data. The advantage of whole specimen coverage to the traditional specimens sampling is interpreted, detailing the core function of the network opinions management that trans- forms from prewarning to preditting. The special requirements and commercial development direction of the opioions management are introduced. Approaches are proposed to construct a harmonious cam- pus in the macro data times and to create a favourable network opinion environment, which include developing correlation, screening opinions leaders, creating opioions judugement steps, ensuring da- ta information safety and adopting data service.