社會網路之建置、分析與視覺化：以台灣學術社群網路為例

Construction, Analysis and Visualization Social Networks: Exemplified by the Academia Social Network in Taiwan

本論文主要針對學術社群網路進行自動建置、分析與具體視覺化的工作。首先，我們採用資料探勘的技術在網際網路上自動識別台灣學術社群之不同種類的個體以及他們之間的關係。並用研究人員、學術機構、關鍵字、以及其他相關的學術資訊間的關係建構全台灣學術社群之網路。接著，我們引進社會網路分析的方法，對已建構好的學術網路進行分析，計算這些學術實體間的重要特性，如群聚係數、中心度，進而得出該網路的一些特性。最後，我們實作出視覺化的系統具體呈現學術社群網路。

This paper discusses the process of constructing, analyzing, and visualizing an academia social network of research communities in Taiwan. Our work can be divided into three portions. First, we use web mining technologies to identify on the Internet various kinds of research communities in Taiwan and then construct an academia social network with information of researchers, academic organizations, keywords, and other relevant academic materials that characterize these research communities. After the construction of the academia social networks, we apply the methodology of social network analysis to calculate and evaluate some important factors reflect some properties of the network, such as the clustering coefficient and centrality values of the various research communities. Finally, we design a visualization system to concretely display this academia social network to users.