以資料圖形化的方式呈現台灣家庭醫學雜誌近五年的文章

Visualization of Papers Published in Taiwan Journal of Family Medicine from 2011 to 2015

科技的精進使得資訊工具的發達與便利，讓人們很容易獲取資訊。然而從大量的資訊中如何有效率地獲得對自己有幫助的資訊，則是大家所關心的議題。資料圖形化方法，不僅是一種技能的提升更是一種態度的改變，對於哪些主題或關鍵字常被提到，常是研究的熱點。本研究以2011-2015年間台灣家庭醫學雜誌所刊登的所有文章為研究對象。藉由文本資料探勘圖形化的方法，期望能幫忙學者及讀者在短時間內能「看到」台灣家庭醫學雜誌的風貌是本文的目的。本文呈現對標題、摘要、作者所屬的機構科部間、所屬單位、及跨院單位合作網絡圖的分析。

Established in March 1991 by the Taiwan Association of Family Medicine, the Taiwan Journal of Family Medicine (TJFM) publishes original papers, review articles, monographs, and case reports on a quarterly basis, leading to an annual publication of approximately 20 articles. It takes a modern approach to obtain in an effective and efficient manner needed information and helpful data from all the papers published by the journal during the past decades. Based on the concept of data visualization, the article aims to utilize text mining to present TJFM papers in the form of visual pictorials. The frequencies of key words were calculated and showed as "word clouds" and network map links that allowed readers to understand the status of TJFM-published papers at a glance. 103 articles published in TJFM from 2011 to 2015 were collected and analyzed in terms of titles, abstracts, network map links between institutions and departments. The top 3 most frequently seen words in article titles were “report,” “association,” and “case,” and those in abstracts were “patient,” “association,” and “treatment.” National National Cheng Kung University appeared to be the institute hosting the greatest number of article authors. The network map links showed that authors tended to collaborate with colleagues in institutes located near their own. With the results of the data visualization, readers can easily know the most used words in the papers published in Taiwan Journal of Family Medicine during the last five years.