基於電子郵件通聯之社交網路探勘

Abstract

隨著全球資訊網路（WWW） 的發展，電子郵件（E-Mail）已成為一種不可或缺的、流行的通訊方式。現今，電子郵件不但是人與人溝通最重要的工具，對各企業更已是商務往來最主要的溝通橋樑。企業內部溝通、重要會議資料、商務往來書信、甚至年節祝賀等，也都已經缺少不了電子郵件。 E-Mail內含可觀的企業資源，E-Mail的歷史資料與內容可以匯聚成為企業知識庫，E-Mail附加檔案的再利用更可以避免資源浪費，從E-Mail延伸的行為，如收送時間，地點，單位，日流量等等，加上E-Mail行為與資料的比對分析得到的重要情報。經過分析比較產生的E-Mail資訊，相信對企業重要的決策議題與管理，具備相當程度的參考價值。另外透過E-Mail構建之社會關係網路，是Mining E-Mail的一個新的應用。基於以上的觀察，本篇論文實作一基於電子郵件之社群網路探勘系統，在本系統中， 透過所開發的模組，可以分析出公司哪一群人(寄件者)與外部人員群組(收件者)的對應關係。在實作驗證上， 我們透過真實電子郵件通聯的紀錄， 找出可以分析出公司中部門與部門的關係程度、部門與供應鏈的關係。進而尋找出每個部門對營業額的影響程度、SALES部門對供應鏈與營業額的關係。

With the popularity of Internet, E-Mail has become one important communication media. It can be seen that e-mail is used for personal and enterprise business purpose. Not only the important interpersonal communication tool, but also the most important communication bridge for enterprise business. For example, e-mails play an important role in information exchange, commercial business and holiday greetings. With the above observation, in this paper, we intend to discover community structures via email logs. E-mail of the historical data and content can be converged into a corporate knowledge data base. Since E-mail logs contain e-mail usage information, such as sending and receiving time, location, organize department, daily flow and so on, community structures mined from e-mail logs have considerable social behaviors for decision making and management. Therefore, this study implements a framework of mining community structures from e-mail logs which consists of pre-processing module, mining module and community module. Through the developed modules in this system, we can analyze the relationship between senders and recipients. Moreover, we could derive the relationship among departments and the relationship between departments and suppliers. Furthermore, we try to find out the impact on sales turnover of each department, and the influence on the revenue from the relationship between sales department and supply chain.