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分类文献下载量数据统计特征分析系统设计与应用

Design and Application of Statistical Characteristic Analysis System for Downloads of Classified Literature

Progress in Social Sciences / 2022,4(6): 467-475 / 2022-12-07 471 595

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• Authors: 魏立杰¹      刘荫明¹      孙江文¹      杨久强²      林年添²     
• Information:

  1．山东科技大学图书馆，青岛；
  2．山东科技大学地球科学与工程学院，青岛

• Keywords: Downloads of classified literature; System design; Downloads heating value; Cluster analysis; Characteristics analysis 分类文献下载量；系统设计；下载量热力值；聚类分析；特征分析
• Abstract: Through the size and distribution characteristics of the downloads of classified literature, we can understand the readers’ reading behavior and its relevance to the development of the discipline. In this paper, according to the statistical characteristics of the downloaded data of classified literature, we designed and developed a data statistical characteristics analysis system, and applied it to the actual case analysis. The application results show that the diversity analysis method improves the reliability of the statistical analysis of the download data of classified literature, helps to better and more comprehensively understand the readers’ reading rules and download characteristics, provides scientific quantitative management basis for the construction of digital libraries or databases, and optimizes the effective development of disciplines and disciplines. 透过分类文献下载量的大小及分布特征，可以了解读者的阅读行为及其与学科发展的关联性。本文根据分类文献下载量数据统计特点，有针对性地设计及研发数据统计特征分析系统，并将其应用于实际案例分析。应用结果表明，多样性的分析方法提高了分类文献下载量数据统计分析的可靠性，有助于更好更全面地了解读者阅读规律和下载特点，为数字图书馆或资料库建设，为优化学科及学科的有效发展，提供科学量化管理依据。
• DOI: https://doi.org/10.35534/pss.0406041
• Cite: 魏立杰，刘荫明，孙江文，等．分类文献下载量数据统计特征分析系统设计与应用［J］．社会科学
  进展，2022，4（6）：467-475．