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    政大機構典藏 > 理學院 > 資訊科學系 > 學位論文 >  Item 140.119/61203
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/61203

    Title: 以多觀點社群網路模型應用於政府官職繼任評選之探討
    An Investigation on the Application of Multiperspective Social Network Model for Government Post Succession Evaluation
    Authors: 林專耀
    Lin, Zhuan Yao
    Contributors: 劉吉軒
    Liu, Jyi Shane
    Lin, Zhuan Yao
    Keywords: 社群網路分析
    Social Network Analysis
    Multiperspective Social Network Model
    Link Prediction
    Government Post Succession Evaluation
    Date: 2013
    Issue Date: 2013-10-01 13:47:48 (UTC+8)
    Abstract: 隨著個人電腦與網際網路科技的逐漸成熟,網路上每日都有巨量資料(Big Data)產生。近年來隨著社群網站的崛起,如何處理這些巨量的社群資料,並有效率地提供出有意義的社群資訊,將是這幾年社群網路領域研究的重點。每當內閣改組消息一出的時候,各政府部門單位的官職繼任官員,都會成為社會公眾關注的議題。本研究將使用中華民國政府官職資料庫,以社群網路分析與連結預測理論為基礎,並透過資料庫中所提供的資料,隨著不同評選時間點以及評選官職建置出網路。擷取網路的資訊,利用本文所提出的多面向模型(Multiperspective Model)產生多種觀點的分數。接著使用評選模型(Evaluation Model)將各個觀點的分數整合,進行某官員繼任某官職可能性計算,然後輸出官職繼任官員的評選清單(Evaluation List)。最後對輸出的評選清單分別對空降繼任狀況、各級上司對於繼任人選決定影響力、單一觀點與多觀點評選方式的評選結果、多觀點評選方式下重視的觀點,以及官職繼任成因五項分析進行探討。
    With the well development of personal PC and the Internet technology, there is a huge amount of data (Big Data) being generated on the Internet every day. Because of the debut and rise of social websites, how to deal with such a huge amount of community information as well as efficiently provide meaningful data to the public has been an explored main issue in the field of social network research in recent years. When the news about cabinet changing was released, the successor of various government departments will become the actively concerned topic for the public. This research applied a government position transaction database as the elements to build the network, which based on Social Network Analysis and Link Prediction theory with different evaluation position and evaluation time. Captured information in the network was used to generate the scores of multiple perspectives according to the Multiperspective Model. Then using the Evaluation Model, which can integrate each observed perspective, and calculate the probability of an official succeeds of a position. Finally the network could output the evaluation list of position successor. In the end, the outcome of the evaluation list was applied to analyze and discuss the following 5 research questions: The situation that the successor isn’t from the unit of successive position, the influence of all levels superiors on the succession decision, result of evaluative methods of a single view and multiple perspective, the important perspective of Multiperspective evaluation, and causal relationship of official successor.
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    Description: 碩士
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0100753040
    Data Type: thesis
    Appears in Collections:[資訊科學系] 學位論文

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