Apply Centrality and TF*PDF in Ranking Interdisciplinary Authors

• Main Authors: LIN, CHI-HAO, 林祺皓
• Other Authors: TU,YI-NING
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/p45hr8

碩士 === 輔仁大學 === 統計資訊學系應用統計碩士班 === 105 === This study selected two research domains “text mining” and “library and information science” and combine centrality and TF*PDF to rank the interdisciplinary authors. In the definition of interdisciplinary authors is that an author who co-authored articles in both research domains. Interdisciplinary authors have higher betweenness centrality than other authors, and it means this study is reasonable for definition of interdisciplinary authors. The top rank author is Yan Erjia, who has higher centrality and TF*PDF weight than others, so in the interdisciplinary authors ranking is the best. Finally, this study compared the spearman’s rank correlation coefficient between h-index, total citation frequency and betweenness centrality with the proposed method. The correlation coefficient between h-index, total citation and betweenness centrality are positive. There are 0.2206, 0.4745 and 0.8924. This also means that this study is similar to the method of ranking in interdisciplinary authors, but the difference is that the ranking method of this study is applied to interdisciplinary authors’s rankings.