情报信息典范相关分析网络算法软件研发与应用

Web Implementation of Canonical Correlation Analysis and Its Applications in Information Researches

与因果分析等一样,相关分析也是信息资料分析的基本工作。典范相关分析用于分析两组变量之间的关系,在情报信息的相关性分析方面有潜在的应用价值。本研究介绍了典范相关分析方法,给出了典范相关分析的Java网络算法软件,可用于计算典范相关系数,典范变量对,以及典范相关系数的统计显著性。该软件可在兼容Java的网络浏览器上运行。同时,用该算法对国内情报信息论文的发文和引文统计数据进行了分析,得到了一些结论。

Similar to regression analysis, duster analysis, etc., correlation analysis is also the basic work for information researches. Canonical correlation analysis can be used to analyze the relationship between two groups of variables, and thus worth for using in information science. Method of canonical correlation analysis was presented in present study. A Java - based network algorithin of canonical correlation analysis was developed, which can be used to calculate the canonical correlation coefficients, canonical variable pairs, and statistical significance of canonical correlation coefficients. The algorithm may be run on Java - compatible web browser. At the same time, paper publishing information and citation statistics in information science of China in past years were analyzed using the algorithm, and a number of conclusions were drawn.