政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/124135

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/124135

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政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 > Item 140.119/124135

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題名:	零售購物籃的連結與群集分析 Analysis of Links and Communities in Retail Market Basket
作者:	黃懷萱 Huang, Huai-Hsuan
貢獻者:	莊皓鈞周彥君 Chuang, Hao-Chun Chou, Yen-Chun 黃懷萱 Huang, Huai-Hsuan
關鍵詞:	購物籃分析產品網路分析權重社群偵測社群網路分析 Market basket analysis Product network analysis Weight Community detection Social network analysis
日期:	2019
上傳時間:	2019-07-01 10:46:27 (UTC+8)
摘要:	本研究發展一套應用社群網路分析於零售業的併買分析方法，實際以國內知名便利商店之產品交易資料進行實作。首先，透過不同的權重設計表達產品併買的實際強度及金流，並賦予權重意義。此外，透過社群偵測分析產品的併買關係，若產品間的關係緊密則自成一群，並針對劃分後的社群衡量每一群體的價值與重要性。接著，更進一步以網路中心性為衡量指標找出關鍵產品與橋樑產品。最後，則透過最長鏈結關係，找出產品間除了直接併買關係之外的間接併買關係。透過這一套分析方法能清楚地探討產品交易數據中的併買關係及找出網路中具有價值的社群與產品，以協助零售業者對於交易資料能有更全面的分析與應用，進而制定更完善的決策和推出更貼近消費者需求的行銷策略與活動，提升企業的營收與獲利。 This research develops a set of techniques for analysis of co-purchased in the retail industry using social network analysis (SNA), and actually implements those techniques on the transaction data from the domestic well-known convenience stores. First, different weighting methods are used to express the actual strengths and cash flows of co-purchased products. In addition, this research uses the community detection to identify co-purchased products from transaction data. If a set of products are frequently purchased together, they form a self-contained community whose internal connections are stronger than external connections. Also, the value and importance of each community will be measured. This research further uses the metrics from the network analysis to identify roles of products among communities. Finally, on top of products purchased together, this research uses the longest link to identify the indirect relationships of co-purchased products. Overall, this research aims to propose an analysis method to better understand co-purchased products from the transaction data. We visually represent co-purchased products using product network, evaluate networks via different weights, and discover relationships among products from the network. The proposed method should help retailers better understand their transaction data, and hence provide information to improve their marketing strategies.
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描述:	碩士國立政治大學資訊管理學系 106356006
資料來源:	http://thesis.lib.nccu.edu.tw/record/#G1063560062
資料類型:	thesis
DOI:	10.6814/THE.NCCU.MIS.005.2019.A05
顯示於類別:	[資訊管理學系] 學位論文

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