基于HITS与MPA算法结合的关键文献确定方法研究

Research of Targeting Key Articles Base on Combination of HITS and MPA algorithm

从海量文献中确定关键文献,为科研人员的研究提供便利是图书情报工作的重要目的之一,现有的文献计量方法在解决相关问题上缺乏有力的解决方案。本文以小世界研究的大量文献为例,利用HITS算法和MPA算法,从网络整体中依据不同的分析指标确定关键文献。通过研究发现,这两种算法结合使用能够迅速的发现关键文献,科研人员能够较快把握研究主题的主要内容。

Targeting key articles from a massive literature to facilitate researches for users is one of the primary purposes of library and information service.However,current bibliometric methods are ineffective in providing solutions to certain problem.Taking small world research as an example,this article provides a quick solution to spot key articles by using HITS and MPA algorithm to calculate the value of importance.It turns out that the combination of the two algorithms work out fast to detect the key article and keep the major content of research focused.