首页|中国个人信息保护应用与技术进展研究——基于科学知识图谱视角

中国个人信息保护应用与技术进展研究——基于科学知识图谱视角

扫码查看
[目的/意义]大数据时代,公众对个人信息保护的需求日渐多维化,基于科学知识图谱视角分析近十年中国个人信息保护演化趋势与前沿热点有其必要性.[方法/过程]基于文献计量、突现检测、科学知识图谱等多种方式展开分析,以CSSCI和CSCD刊源分别表征应用与技术维度,梳理近十年国内个人信息保护研究的双维度发展趋势.[结果/结论]我国个人信息保护研究文献数量呈现阶段性增长模式;个人、机构的合作方式以内部学术交流、地域性联系为主,多学科交叉格局有待形成;在应用维度上以图情类主导、公共化、数字化为研究趋势;在技术维度上以计算机类主导、精细化、智能化为研究趋势.全民监督与数据共治成为应对大数据时代个人信息保护新挑战的可行之策.
Research on the Progress of Personal Information Protection Application and Technology in China——Based on the Perspective of Mapping Knowledge Domains
[Purpose/Significance]In the era of big data,the public's demand for personal information protection is becoming increasingly multidimensional.It is necessary to analyze the evolution trend and cutting-edge hotspots of personal information protection in China in the past decade from the perspective of mapping knowledge domains.[Methods/Processes]Bibliometrics method,emergence detection and mapping knowledge domains are used to carry out analysis,while CSSCI and CSCD sources represent the application and technology dimensions respectively.[Results/Conclusions]The growth mode of the number of personal information protection research literature in China is phased stable and generally close to linear growth;The cooperation modes of individuals and institutions are mainly internal academic exchanges and regional connections,therefore the interdisciplinary pattern needs to be formed;In the application dimension,it is dominated by library and information scien ce,heading towards popularization and digitization;In the technical dimension,it is dominated by computer science,heading towards refinement and intelligence.National supervision and data co-governance have become feasible strategies to address the new challenges of personal information protection in the era of big data.

Personal Information ProtectionMapping Knowledge DomainsBibliometricsApplication DimensionTechnical DimensionHotspot Evolution

刘华玲、梁华璧、王希睿

展开 >

上海对外经贸大学 统计与信息学院 上海 201620

个人信息保护 科学知识图谱 文献计量 应用维度 技术维度 热点演化

2024

情报工程

情报工程

CSTPCDCHSSCD
ISSN:
年,卷(期):2024.10(1)
  • 62