基于因子分析和聚类分析的政务微博影响力研究——以山东省17个城市公安政务微博为例  

Research on the Influence of Government Affair Microblogs Based on Factor Analysis and Cluster Analysis:Case Study of Public Security Government Affairs Microblogs in 17 Cities in Shandong Province

作　　者：高莹 王晓 Gao Ying;Wang Xiao(School of Management,Qufu Normal University,Rizhao Shandong 276800)

机构地区：[1]曲阜师范大学管理学院,山东日照276800

出　　处：《情报探索》2020年第11期65-70,共6页Information Research

基　　金：曲阜师范大学研究生教育创新计划项目“曲阜师范大学研究生教育创新计划项目”(项目编号:QSYY16015)研究成果之一。

摘　　要：[目的/意义]旨在为政务微博平台建设提供参考。[方法/过程]以山东省17个城市的公安政务微博为研究样本,归纳出4个一级指标和9个二级指标,构建政务微博影响力指标评价体系,通过SPSS因子分析方法和聚类分析方法得到不同城市的指标得分,进而评价和比较山东省政务微博的影响力。[结果/结论]山东省公安政务微博影响力的发展水平参差不齐,影响力低的政务微博比较多,影响力高的政务微博比较少。[Purpose/significance]The paper is to provide reasonable suggestions for the construction of government affairs microblogging platforms.[Method/process]The paper takes public security government microblogs in 17 cities in Shandong as a research sample summarizes 4 first-level indicators and 9 second-level indicators constructs an evaluation system of government microblog influence indicators uses SPSS factor analysis method and category analysis method to obtain the index scores of different cities and then evaluates and compares the influence of Shandong government microblog.[Result/conclusion]The results of the study show that the development level of the influence of public security government microblogs in Shandong is uneven.There are more government microblogs with low influence and fewer government microblogs with high influence.

关 键 词：政务微博 因子分析 聚类分析 

分 类 号：G350[文化科学—情报学]