以詞語共現網絡分析探勘資訊傳播學領域的研究主題與關係

Exploring the Research Topics and Their Relations in the Field of Information Communication via Term Co-Occurrence Network Analyses

林頌堅(Sung-Chien Lin)

《圖書資訊學研究》 4卷2期 (2010/06) Pp. 123-148

摘要

本文提出一個新的領域分析方法探勘資訊傳播學領域的重要研究主題，以及主題之間的關係。我們從國內相關系所碩士論文的文字內容中抽取出具有主題性的詞語以及它們的共現關係，建立一個詞語共現網絡來進行分析。本文探討了這個網絡的整體性質，並且從網絡上確認了可以視為是重要研究主題的詞語叢集，也以視覺化的方式呈現這些研究主題和它們之間的關係。研究結果發現：雖然這個網絡的密度相當疏鬆，但它的特徵路徑長度與平均叢集係數顯示這個網絡符合小世界網絡的特徵，這個現象表示資訊傳播學領域有較多元而分散的研究主題，並且這些主題相互之間有寬鬆的重疊情形。此外，抽取出來的主題與關係也很明顯地表現這個領域紮根於傳播學、圖書資訊學、及資訊與通訊科技的研究與實務。

關鍵字

資訊傳播學領域 ； 詞語共現網絡 ； 網絡分析

並列摘要

This paper reports on a new method for exploring the prominent research topics and the relations between them in the field of information communication studies. Analyzing the term co-occurrence network composed of topical terms extracted from the masters' theses of the related graduate schools in Taiwan, this study was able to identify prominent clusters of topical terms, which represented important research topics in the field. Visual representations of the topical relationships were also provided. The study findings reveal that, although the network was of low density, its characteristic path length and the average clustering coefficient indicated that it had the features of a small-world network. This suggests that the research topics in this field were highly diverse and dispersed, while some overlaps existed among the prominent topical areas. In addition, the identified topics and relationships also revealed the field's roots in communication studies, library and information science, and information and communication technologies.

並列關鍵字

Information communication research ； Term co-occurrence network ； Network analysis

參考文獻

黃元鶴(2008)。運用書目計量學分析兩岸三地創新系統的知識生產、流動與擴散：以資料探勘領域為例。大學圖書館。12(1)，72-95。

Resig, J., Dawara, S., Homan, C. M., & Teredesai, A. (2004). Extracting social networks from instant messaging populations. Retrieved April 29, 2010, from http://www.cs.cmu.edu/~dunja/LinkKDD2004/John-Resig-LinkKDD-2004.pdf

Spertus, E., Sahami, M., & Buyukkokten, O. (2005). Evaluating similarity measures: A large-scale study in the Orkut social network. Retrieved April 29, 2010, from http://www.cs.uiuc.edu/class/fa05/cs591han/kdd05/docs/p678.pdf

Ahn, Y.-Y.,Han, S.,Kwak, H.,Moon, S.,Jeong, H.(2007).Analysis of topological characteristics of huge online social networking services.Proceedings of the Sixteenth International Conference on World Wide Web.(Proceedings of the Sixteenth International Conference on World Wide Web).:

Amaral, L. A. N.,Scala, A.,Barthélémy, M.,Stanley, H. E.(2000).Classes of small-world networks.Proceedings of the National Academy of Sciences of the United States of America.97,11149-11152.