| 学科领域科研产出的空间分布规律研究——以计算机软件与应用学科为例 |
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| 引用本文： | 马超,李纲,毛进,谷岩松.学科领域科研产出的空间分布规律研究——以计算机软件与应用学科为例[J].图书情报工作,2019,63(15):94-102. |
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| 作者姓名： | 马超 李纲 毛进 谷岩松 |
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| 作者单位： | 武汉大学信息资源研究中心 武汉 430072 |
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| 基金项目： | 本文系国家自然科学基金重大课题"国家安全大数据综合信息集成与分析方法"（项目编号：71790612）和中国博士后科学基金项目"融合语义与关系的科研社群识别与演化研究"（项目编号：2018M630885）研究成果之一。 |
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| 摘 要： | 目的/意义]探究学科领域科研产出在空间上的分布情况,发掘其空间分布是否存在自相关性,分析其形成空间聚集的影响因素。方法/过程]基于计算机领域核心期刊从1997-2016年间的题录数据,提取机构地理位置信息,以此为观测点,对其分布情况进行可视化呈现,并测算基尼指数和中心性指数,研究其分布集中情况;通过测算全局莫兰指数和局部自相关指标,研究其空间自相关规律;通过测算皮尔森相关系数,研究其与地区高校数量、国民生产总值、研究与试验投入和行业从业人员数量的相关性。结果/结论]计算机领域核心期刊论文产出呈现出地理位置分布不均衡,有明显集中态势,且存在空间自相关性,同时与地区该学科高水平高校数量、行业从业人员数量和科研人员数量相关性较高。
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| 关 键 词： | 空间知识溢出 空间自相关 城市创新力 探索性空间数据分析 |
| 收稿时间： | 2018-12-28 |
Research on the Spatial Distribution of Scientific Research Output: Taking the Computer Software and Application Field as an Example |
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| Ma Chao,Li Gang,Mao Jin,Gu Yansong.Research on the Spatial Distribution of Scientific Research Output: Taking the Computer Software and Application Field as an Example[J].Library and Information Service,2019,63(15):94-102. |
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| Authors: | Ma Chao Li Gang Mao Jin Gu Yansong |
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| Institution: | Center for Studies of Information Resources, Wuhan University, Wuhan 430072 |
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| Abstract: | Purpose/significance] The extensive development of scientific research cooperation will inevitably lead to the imbalance of regional scientific research output. In order to explore its distribution, the paper analyzed the causes of differences, and studied the spatial distribution of regional scientific research output.Method/process] Based on the bibliographic data of the computer field from 1997-2016, the geographical location information of the organization is extracted, and the observation point was used to visualize the distribution, and the Gini index and the centrality index are measured to study the distribution concentration. By measuring the global Moran index and local autocorrelation index, the spatial autocorrelation law was studied. By measuring the Pearson correlation coefficient, the correlation between the number of colleges and universities, the gross national product, the research and experimental input, and the population was studied.Result/conclusion] The output of journals in the computer field showed an uneven geographical distribution, a clear concentration, and spatial autocorrelation. Meanwhile, it had a high correlation with the number of regional universities and regional research and experimental funding. |
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| Keywords: | knowledge spillover spatial autocorrelation urban innovation exploratory spatial data analysis |
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