學術合作領導型態的創新量化與視覺化：以狩野圖、絕對優勢係數及斜率圖分析醫療資訊主宰力趨勢

Innovative Quantification and Visualization of Leadership Patterns in Academic Collaboration: Analyzing Dominance Trends in Medical Informatics Using Kano Diagrams, Absolute Advantage Coefficients, and Slope

本研究提出一具結合狩野（Kano）圖與絕對優勢係數（AAC）的網絡分析方法，利用其視覺分類學術合作中的領導者，驗證AAC強度大於0.7，堪稱超級領導者，再以斜率圖呈現醫療資訊機構主宰力的趨勢。資料來自2024年臺灣主要醫學機構與作者（歷年）的SCI醫療資訊論文，節點代表作者或機構，依據其合作廣度（X軸）與產出表現（Y軸）呈現其狩野圖。透過雙拋物線及一個半徑（標準差）的圓形區域（正常區），劃分4個非線性的領導類型。結果顯示，當AAC大於0.7可有效辨識「超級領導者」。模擬資料驗證不同半徑設定下的AAC值變化，進一步支持此AAC臨界值的穩健性。在涉及多個群組的情況下，會應用準或次要名稱的層級分類：極強領導（≧0.8）、超級領導（≧0.7）、強力領導（≧0.6）、中級領導（≧0.5）、與弱勢領導（< 0.5）。斜率圖呈現醫療資訊機構主宰力由北醫轉為台大。本方法提供一具直觀與量化的視覺圖工具，可應用於文獻計量學、合作領袖分類、競賽獎項評比、與策略發展的關聯分析。

This study proposes a novel network analysis method that integrates the Kano diagram with the Absolute Advantage Coefficient (AAC) to visually classify leadership roles in academic collaborations in the field of medical information (MI) research. A slope graph is also used to visualize the trend of institutional dominance in ML Using SCI-related MI articles published by major Taiwanese institutions and authors up to 2024 are used to plot authors or institutions as nodes in a Kano diagram, with collaboration breadth (X-axis) and research output (Y-axis). Leadership is categorized into four non-linear types: super, strong, medium, and weak leaders, using dual parabolic boundaries and a standard deviation-based control circle. The results indicate that an AAC greater than 0.7 effectively identifies ''super leaders''. Simulation data validating AAC variations under different radius settings further supports the robustness of this threshold. In cases involving multiple clusters, quasi-level classifications are applied: ultra leadership (AAC≧0.8), super leadership (AAC≧0.7), strong leadership (AAC≧0.6), moderate leadership (AAC≧0.5), and weak leadership (AAC < 0.5). The slope graph shows a shift in institutional dominance of MI from TMU to NTU. This method provides a quantitative and intuitive visualization tool that can be used in bibliometrics, leadership classification, award evaluation, and strategic planning.