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| Title: | 政治職位從屬網絡分析應用於政府高階首長之權力位階探討
Political Power Network Analysis - A Case Study with the R.O.C. High-Ranking Executive Officials |
| Authors: | 梁裕閔
Liang, Yu Min |
| Contributors: | 劉吉軒
Liu, Jyi Shane
梁裕閔
Liang, Yu Min |
| Keywords: | 社會網絡分析
政治權力關係
資料分析
權力位階探討
政治影響力分析
Social Network Analysis
Political Power Relationship
Data Analysis
Power Ranking Study
Political Influence Analysis |
| Date: | 2016 |
| Issue Date: | 2016-02-03 12:14:15 (UTC+8) |
| Abstract: | 現代隨著時間的演變以及科技的發展，大量數位化的資料必須倚賴資訊技術的處理，其中使用社會網絡分析的方法可以找出資料當中隱藏的關連性，給予資料分析上有更多元的觀察角度。本研究以中華民國政府高階官員的權力脈絡當作分析的主軸，試著以客觀且合理的角度量化政治權力這樣一個抽象的概念，從官員之間的從屬關係出發，搭配權力之間傳遞的相互影響性以及共事天數的概念。本研究以PageRank演算法當作核心，將其修改並套用到政府高階官員的權力位階計算當中，而在各個時間點的切分之下，可以針對政治權力得到各種不同觀察角度下的結果，因此本研究也可以說是提供了一個政治權力的觀察平台。在研究資料的部分本研究整理並使用了一份以中華民國各部會首長職位以上的高階首長資料；實驗結果的評估則是使用Udn新聞以及Google新聞的搜尋數當作比較的標準。
As the development of technology, recently there are abundant data that have been digitized and those data need to be processed by informational techniques. We can find out hidden associations inside data by using the methods of social network analysis, in addition, social network analysis can provide more perspectives in data analysis. The core issue of our research is the power ranking of R.O.C. high-ranking executive officials. We try to quantize political power in objective perspectives and make our research be closer to real world. First we apply subordinate-and-supervisor relationship, days during subordinate-and-supervisor relationship, and mutual enforcement between officials into the constructing of R.O.C. high-ranking executive officials’ network. And next we use PageRank as our core algorithm, modified and refined PageRank to become more suitable in calculating the power ranking of R.O.C. high-ranking executive officials. It can be different kinds of results when we slice data by different times, therefore we can say that this research provides a new observing platform for political power of R.O.C. officials. In part of evaluation, we use hit counts of both Udn news and Google news as benchmark. |
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| Description: | 碩士
國立政治大學
資訊科學學系
102753017 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0102753017 |
| Data Type: | thesis |
| Appears in Collections: | [資訊科學系] 學位論文
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