本研究計畫的目標是應用社群媒體採礦和書目計量學的方法從兩個不同的角度來分析虛擬實境的趨勢發展。從社群媒體的角度而言，本研究將對虛擬實境相關的社群媒體資料進行收集，並應用文字採礦來發掘過去10年來公眾對虛擬實境的主要觀點。我們亦將進行多層分解分析以計算關鍵詞語之間的概念聯繫的強度，並產生其概念鏈接圖。而在文獻計量學分析的部分，本計畫將收集近十年發表的核心虛擬實境期刊論文進行描述性分析和網絡分析，並以書目耦合網絡，共詞網絡和共引文獻網絡來說明作者與研究領域分佈的關係。而文字採礦分析也將應用於目標期刊資料庫，以找出在學術界討論虛擬實境技術的關鍵議題。最後，本研究將總結社群媒體與學術數據庫之文字採礦結果的異同點，了解大眾與學術界對虛擬實境發展的共同議題與差距。本研究結果可以幫助公司識別虛擬實境應用在消費市場的潛在機會，並瞭解虛擬實境在研究理論與實務上的差距。 ;The goal of this research proposal is to apply the approaches of social media mining and bibliometrics to understand the trend of virtual reality (VR) from two different angles. From the social media perspective, the VR-related social media data will be retrieved and analyzed to outline the trend of VR by applying an advanced text mining algorithm to disclose the pubic opinions toward VR during the past 10 years. A multi-layer decomposition analysis will be conducted to calculate the strength of conceptual links between key terms and to generate the concept link diagrams. From the bibliometrics analysis, core VR journal papers published in the last decade will be collected for the descriptive analysis and network analysis. The maps of bibliographic coupling network, co-word network, and co-citation network regarding VR research will be illustrated to explore the relationship between the authors and the distribution of research areas. Text mining analysis will be also applied to the abstract of the target journal papers to identify the key topics of VR discussed in the academia. Finally, the similarities and differences between the text mining results of social media and academic database will be summarized to understand the common issues and gaps between the general public and the academia towards VR development. The results of this research project can help companies to identify the potential opportunities of VR applications for consumer market and to bridge the gap between theory and practice in VR research.
