以社會網絡分析法探討期刊論文發表之合作情形與研究領域圖

Using social network analysis to study the pattern of coauthor collaboration on journal published papers and author research domain diagrams

錢才瑋(Tsair-Wei Chien) ； 高元(Yien Kau)

《醫療資訊雜誌》 27卷1期 (2018/01) Pp. 13-24

摘要

比較三個期刊作者發表論文的合作情形。蒐集自2003年於醫務管理（324篇）、及醫院雜誌（461篇）及醫療資訊雜誌（246篇）發表的論文1,031篇，挑出作者1,229人次（867人）、1,587人次（1,015人）及941人次（669人），總計3,760人次（2,551人），比較國內3期刊：（1）作者的貢獻與合作圖騰，（2）期刊的作者連結與合作密度，（3）利用社會網絡分析挑出期刊代表性作者及其研究領域的知識概念圖。結果發現：期刊別與作者人數間具有關聯（p＜0.0001），醫院雜誌的單一作者比例（19.52%）高於醫療資訊（9.35%）及醫務期刊（5.56%）。醫療資訊雜誌的加權後合作比率最高。醫療資訊平均一篇作者數（3.84）高於醫務期刊（3.79）及醫院雜誌（3.01）。醫療資訊的平均度數（2.68）及度數密度（0.73%）都顯示高於同儕另兩期刊。知識概念圖顯示醫療資訊代表性作者的研究領域皆與醫療資訊及電腦科技相關。利用社會網絡分析比較期刊作者間的合作情形與差異，提供期刊經營走向的參考。

關鍵字

合作程度 ； 合作係數 ； 合作指標 ； 視覺圖像 ； 作者 ； 社會網絡分析

並列摘要

Journal authorship collaboration pattern and author research knowledge concept map are required to be compared and analyzed. A total of 1,031 published papers were reviewed including 3,765 author counts (2,551 persons) in three domestic journals (324 from Journal of Healthcare Management, 246 from The Journal of Taiwan Association for Medical Informatics, and 461 from Hospital Magazine) since 2003 were downloaded to investigate differences in authorship pattern and degree of collaboration. We applied SNA to compare: (1) authorship pattern in a micro perspective, (2) degree of collaboration in a macro perspective for the above mentioned study journals, and (3) research domain maps among selected authors. Results were found that association was significant between journals and the number of authorship (p＜0.0001). The degree of collaboration is highest in Journal of Medical Informatics. The single author rate is highest in Hospital Magazine (19.52%) in comparison with other two(5,56% and 9.35%). The highest average author number per paper(3.84) is to Medical Informatics, followed by 3.79 and 3.01, respectively, to Healthcare Management and Hospital Magazine. Other indices regarding degree of collaboration (2.68) and association density(0.73%) are also shown higher on Medical Informatics than other two counterpart. The SNA is useful in identifying the authorship and degree of collaboration in health-related journals as well as showing close relations to the journal aims and scope from the perspective of author research domain maps. The results show that those statistical indicators can be offered to strategy and decision making for journals in future.

並列關鍵字

degree of collaboration ； collaborative coefficient ； collaboration indices ； graphical representation ； authorship ； social network analysis