摘要: |
[目的]将大数据与计量可视化工具相结合,有助于从定量的角度把握文献研究的现状和特点。[方法]文章以中国学术期刊(网络版)作为研究文献的数据平台,检索2013—2018年我国精准扶贫精准脱贫相关研究文献,运用中国知网(CNKI)计量可视化功能分析相关文献的基本现状; 运用CiteSpace信息可视化功能分析研究文献的热点和趋势。[结果](1)围绕精准扶贫精准脱贫的相关研究发文量由急剧上升到平稳增长; (2)绝大部分作者是独立研究,同一机构内部作者合作较多,有影响的科研团队较少; (3)个别杂志具有较强的影响力; (4)通过关键词共现图谱、聚类分析,展示了热点关键词的频次和分布情况,揭示了热点关键词之间的知识结构;(5)通过关键词时区知识图谱分析,揭示了热点关键词的演变历程和发展趋势。[结论]扶贫研究具有典型的时效性、政策性、专业性和持续性,目前的研究状态还将持续一段时间,但在2020年后研究内容将发生转变。 |
关键词: 精准扶贫精准脱贫计量可视化分析学术影响力大数据发展趋势 |
DOI: |
分类号:F3238; G3531 |
基金项目:教育部人文社会科学研究规划基金项目“深度贫困地区返贫风险与管控机制研究——以西藏为例”(19YJA790059); 国家社会科学基金青年项目“西南少数民族地区农村贫困家庭返贫抑制及可持续生计对策研究”(17CSH014); 西藏自治区哲学社会科学专项资金重点项目“西藏实施精准扶贫的特殊困境与应对策略”(17AJY002); 西藏农村经济发展研究中心资助项目(NYQNKY2018 06) |
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RESEARCH ON STATUS,FOCUS AND DEVELOPMENT TREND OF PRECISION POVERTY ALLEVIATION*——VISUALIZATION PERSPECTIVE BASED ON CNKI AND CITESPACE |
Zhang Mengmeng1,Liu Tianping1, 2※,Yang Jianhui1
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1.Plant Science Colloge, Tibet Agricultural and Animal Husbandry University, Linzhi, Tibet 860000,China; 2.Research Center for Rural Economic Development in Tibet, Tibet Agricultural and Animal Husbandry University, Linzhi, Tibet, 860000, China
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Abstract: |
Combining big data with measurement visualization tools helps to grasp the status quo and characteristics of literature research from a quantitative perspective.This study used Chinese academic journals(online version)as the data platform of research literature to search the relevant research literature on precision poverty alleviation in China from 2013 to 2018, and analyzed the basic status of relevant literature by using China National Knowledge Infrastructure(CNKI)measurement visualization function; then analyzed the hotspots and trends of the research literature by adopting the CiteSpace information visualization function.The number of relevant research on precision poverty alleviation rose sharply and then come to a steady growth; the vast majority of authors were independent studies.There was more cooperation among authors within the same institution and fewer influential research teams; some particular magazines had a strong influence; through the keyword co occurrence map, cluster analysis, the frequency and distribution of hot keywords were shown, and the knowledge structure between hot keywords were revealed; through the keyword time zone knowledge map analysis, the hot keywords evolution and development trends were revealed.Poverty alleviation research bears the typical characteristics of timeliness, policy orientation, professionalism and sustainability.The current research state will continue for some time, but the research content will change after 2020. |
Key words: precision poverty alleviation precise out of poverty visual analysis academic influence big data development trend |