| Abstract: | 我國飲用雞尾酒日益盛行，網路與坊間書店也陳列了許多雞尾酒的專書，發現雞尾酒的分類方式多以基酒、酒精含量、餐點搭配作為一般的邏輯歸類方式，缺乏具有科學性的系統分析；本研究亦發現每支雞尾酒的發展會有脈絡可循，卻常無法融入教學的材料中，學習過程沒有縱貫性理論的慣穿，流於破碎的記憶。因此，在雞尾酒的學習過程中，雞尾酒的派系扮演重要的教材與創新研發的角色。 本研究應用社會網絡分析法，以雞尾酒的配方與其飲用時機為材料，探討各類型雞尾酒的基本構成與成分及其相關要素，透過解析雞尾酒元素組合之可能關係，建構雞尾酒的家族脈絡，並提出解釋雞尾酒家族分類的方法論。研究採用《The American Bartenders School Guide To Drinks》、《The Bar & Beverage Book》以及IBA Official Cocktails之雞尾酒品項、配方與飲用時機，將其以不具重覆性的雞尾酒輸入社會網絡分析法-Net Miner軟體中，奠定雞尾酒調製配方的基礎。 從所得的社會網絡之集群分析中，雞尾酒的元素組合會依組合的結構呈現不同的派系。顯示結果，將歸納出雞尾酒的家族系譜，並利用具有系統、科學且可視化的圖形理論闡釋，獲得有系統、整合力的認知結構。本研究結果，有助於引導學習者、教學者、飲用者、創新研發者及推廣者進行相關的雞尾酒理解，逐步建立雞尾酒家族的認識與發展，順利達成雞尾酒調製觸類旁通之目標，並賦予其更多的自由度。
Cocktails are getting popular in Taiwan. Books about beverages and cocktails are also among the top selling titles. However, it was found that cocktails were mostly grouped and arranged by their base liquor, alcohol content, or the dishes they go with. Scientific and systematic analyses were rarely seen in the presentations of cocktails. Although cocktails were commonly arranged by certain themes or topics, they can hardly be integrated into instructional materials because of the lack of the theoretical framework. It is hard for learners to obtain a complete understanding of theories which can help them better organize different families of cocktails. Because the families of cocktails play a critical role in innovation, it is essential for learners to be familiar with them. This study attempted to explore the combination of cocktail ingredients based on Social Network Analysis (SNA), along with the recipe and the occasions they were taken. Through the investigation the researcher seek to understand the relationship among cocktail families, and further, the methodology of classifying cocktails. The basic elements of cocktails, including items, recipes, and occasions for drinking, were adopted from “The American Bartenders School Guide to Drinks,” “The Bar & Beverage Book,” and standards of IBA. Distinctive elements of cocktail items were entered in the Net Miner, an SNA software, as the basic ingredients of a cocktail. It was found that the combinations of cocktail elements formed different families in the SNA clusters. The cocktail families were better accounted for in terms of such a more systematic, scientific, visible way. The finding of this study benefits learners, instructors, drinkers, innovators, and promoters in understanding more about cocktails. Also, the finding may also help understand the development and evolution of cocktails, which will contribute to future innovations. |
