图书情报工作 ›› 2022, Vol. 66 ›› Issue (17): 47-59.DOI: 10.13266/j.issn.0252-3116.2022.17.005

• 专题:网络信息资源保存与利用研究 • 上一篇    下一篇

融合知识图谱与DTM模型的我国社区治理政策变迁研究

高杰1,2, 张立立3, 黄新平4   

  1. 1. 山东大学国际创新转化学院 青岛 266237;
    2. 山东大学国家治理研究院 青岛 266237;
    3. 清华大学公共管理学院 北京 100084;
    4. 吉林大学商学与管理学院 长春 130012
  • 收稿日期:2022-04-18 修回日期:2022-07-05 出版日期:2022-09-05 发布日期:2022-09-09
  • 通讯作者: 张立立,博士研究生,通信作者,E-mail:zhangll18@mails.tsinghua.edu.cn
  • 作者简介:高杰,副研究员,博士;黄新平,副教授,博士。
  • 基金资助:
    本文系国家社会科学基金青年项目"基于云计算的政府网站网页在线归档与开发利用研究"(项目编号:18CTQ040)研究成果之一。

Research on the Change of Community Governance Policy in China by Integrating Knowledge Map and DTM Model

Gao Jie1,2, Zhang Lili3, Huang Xinping4   

  1. 1. School of Innovation and Entrepreneurship, Shandong University, Qingdao 266237;
    2. Institute of State Governance, Shandong University, Qingdao 266237;
    3. School of Public Policy & Management, Tsinghua University, Beijing 100084;
    4. School of Business and Management, Jilin University, Changchun 130012
  • Received:2022-04-18 Revised:2022-07-05 Online:2022-09-05 Published:2022-09-09

摘要: [目的/意义] 以政府网站发布的我国社区治理政策的主题演化与政策变迁为例开展政策文献量化研究,有助于丰富政策文献量化研究的理论方法体系,并对"十四五"时期我国社区治理的数字化发展与智慧化转型提供决策助力。[方法/过程] 采用DTM模型进行主题建模,并结合知识图谱来进行相关政策主题演化图谱绘制与部门联合发文网络的可视化分析,分阶段展开政策文献量化研究。[结果/结论] 研究发现,我国社区治理政策的时间分布具有周期性,数字治理与智慧治理的主题逐渐从萌芽演进为主流,此外政策主题变迁还与"非典""新冠疫情"等非常规事件有关,政策主体多元化、政策主题多样化,社区智慧养老与智慧治理成为新时期政策发展的重点,而有关疫情的社区基层治理、多元治理是当前我国社区治理的热点难点与政策聚焦。

关键词: 知识图谱, DTM模型, 政策文献量化, 社区治理

Abstract: [Purpose/Significance] Taking the theme evolution and policy change of China's community governance policy published on the government Website as an example, carrying out quantitative research on policy literature will help enrich the theoretical and methodological system of quantitative research on policy literature, and provide decision-making assistance for the digital development and smart transformation of China's community governance during the 14th Five-Year Plan period.[Method/Process] DTM model was used for theme modeling, and combined with knowledge map to draw the evolution map of relevant policy topics, visual analysis of department joint document network, and quantitative research of policy literature was carried out in stages.[Result/Conclusion] It is found that the time distribution of China's community governance policy is cyclical, and the themes of digital governance and smart governance gradually evolve from budding to mainstream. In addition, the changes of policy themes are also related to unconventional events such as SARS and COVID-19 epidemic. The policy subjects are diversified and the policy themes are diversified. Smart community care for the elderly and smart governance have become the focus of policy development in the new period, and community grass-roots governance and diversified governance related to the epidemic are the hot and difficult points and policy focus of community governance in China at present.

Key words: knowledge map, DTM model, quantification of policy literature, community governance

中图分类号: