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    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/86635


    題名: 由多元校園社群關係分析對學生就業之影響;The analysis of interactions between multiple social relationships and student employment
    作者: 楊家育;Yang, Jia-Yu
    貢獻者: 資訊工程學系
    關鍵詞: 社群網路分析;社群影響力;校務研究;Social Network Analysis;Social Influence;Institutional Research
    日期: 2021-08-05
    上傳時間: 2021-12-07 13:02:44 (UTC+8)
    出版者: 國立中央大學
    摘要: 近年來,為了因應高等教育所帶來的教育環境變遷與問題,世界各國的校務研究持續發展了數十年,透過分析不同面向、維度的學校資料,為學校的決策者提供一具有科學效力的論證與相關建議,來做出對於當下最適宜的相關政策。
    一般來說,校務研究所能涵蓋的範圍極為龐大,其限制取決於該校蒐集資料的廣度與精細程度,而其中稱為「人脈」的軟實力更是難以體現在資料之中,而社群網路分析 (Social Network Analysis) 便是我們能拿來分析個體在群體內互動的利器之一。
    本研究透過將學生所屬的相關系所、參與過的社團以及其戶籍地等社群關係,轉換成一龐大的社群網路,並且根據學生之間的親疏程度決定學生互相的影響程度,藉此找出在各個社群關係之中,學生之間的關聯會如何影響他們各自未來的就業類型。
    ;In recent years, in response to changes in the educational environment and problems brought about by higher education, school affairs research in various countries around the world has continued to develop for decades. Through the analysis of school data of different dimensions and dimensions, it has provided school decision-makers with a scientific effect. The argument and relevant recommendations of the company will make the most appropriate relevant policies for the moment. Generally speaking, the scope of the school affairs research institute is extremely large, and its limitation depends on the breadth and fineness of the data collected by the school, and the soft power called ”personal connections” is even more difficult to reflect in the data. Social Network Analysis is one of the powerful tools we can use to analyze the interaction of individuals within a group.
    This research transforms the social relationships of the students’ affiliates, the clubs they have participated in, and their residence registration into a huge social network, and determines the degree of mutual influence between students based on the degree of closeness between students. Find out how students will affect their respective types of employment in the future in each community relationship.
    顯示於類別:[資訊工程研究所] 博碩士論文

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