基於公開資源之學術社群網路分析

Abstract

本論文利用網路上公開的學術資料，建立描述研究人員間學術關係之社群網路，以此網路模型進行幾個問題的分析：首先探討研究人員與研究領域間之關係，接著以此分析研究人員間學術關係。根據這些分析的結果，本論文建立了一套學術推薦系統（Academic Net Recommendation System），自動分析出跟各研究人員學術上最為相關的學者。最後利用這套系統，以台大資訊工程學系的現任教師為例，建立教師間在資訊科學領域的學術網路，找出學術上與個人最為相關的教師群。

In this paper, based on the public academic information, we establish the academic network of researchers, which describes the relations between the academic identities. After analyzing and explaining, there are some phenomenon in this network model : First we explore the metaphor between researchers and research area. The result helps us analyzing the academic staff relations afterward. Based on these filtered network graphs, we set up an Academic Net Recommendation System as application. The recommendation system automatically answers us that the most relevant academic scholars with some chosen researcher. Finally, apply this system to the group of the professors, who take office at Computer Science Information Engineering of National Taiwan University as examples. We establish the academic network of teachers in the field of Computer Science, for recognizing the most relevant teachers group to each professor