本研究利用資訊科學領域重要期刊的論文內容，運用主題模型方法，確認領域的主題，分析各種期刊重視的研究主題，並且將期刊在主題分布的差異視覺化。本研究使用的資料是資訊科學的六種期刊於 2007到 2013年發表論文的題名與摘要，運用主題模型方法所產生的 20個主題，可以進一步歸類為資訊搜尋與檢索研究和資訊計量學兩個群組。雖然本研究的分析範圍和研究方法都與先前的研究不同，但主題確認的結果與先前研究類似，顯示資訊科學的研究主題發展大致上穩定。此外，主題確認完成後，本研究也利用各種指標測量期刊的主題多樣性。各種指標對期刊的主題多樣性測量結果相當一致，有較廣泛研究主題的 Journal of the American Society for Information Science and Technology與 Journal of Information Science具有較大的主題多樣性。

In this study, we used the text content of papers published in important journals of the field of Information Science as the data resource and the method of topic modeling to identify research topics in the examined field to analyze the important topics of each journal and to map the journals according the disparities between their topic distribution into a graph. The input text data used in this study were the title and abstract of articles published between 2007 and 2013 in six important journals of the field of Information Science. The results of topic modeling were 20 topics, which can be further classified into two groups, “information search and retrieval” and “informetrics”. Although the scope of analysis and the research methods in this study and previous studies are different, the results are similar. It means that the development of research topics in the examined field are generally stable. Based on the results of topics identification, we also measured the topic diversity of the journals using various indicators. The measure results of different diversity indicators are quite consistent. Journal of the American Society for Information Science and Technology and Journal of Information Science, which had broad distribution over research topics, both obtained a larger topic diversity among all the examined journals.