學術產出-學位論文
文章檢視/開啟
書目匯出
-
題名 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作者 梁裕閔
Liang, Yu Min貢獻者 劉吉軒
Liu, Jyi Shane
梁裕閔
Liang, Yu Min關鍵詞 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日期 2016 上傳時間 3-二月-2016 12:14:15 (UTC+8) 摘要 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.參考文獻 [1] 沈曜廷。應用社會網絡連結預測理論於政府官員職務繼任分析。國立政治大學資訊科學系碩士論文，2011。[2] 林岡隆。政府官員異動之社會網絡分析。國立政治大學資訊科學系碩士論文，2009。[3] 林專耀。以多觀點社群網絡模型應用於政府官職繼任評選之探討。國立政治大學資訊科學系碩士論文，2013。[4] 莊婉君。事件導向動態社會網絡分析應用於政治權力變化之觀察。國立政治大學資訊科學系碩士論文，2011。[5] 林嘉誠。政務首長的流動分析 2000.5-2007.5。第三卷第四期，國家菁英, 2006，頁1-28。[6] 胡龍騰。政黨輪替前後高階行政主管流動之比較。第三卷第四期，國家菁英，2007，頁31-42。[7] 劉吉軒。中華民國政府官職資料庫發展與應用。圖書與資訊學刊， 2012，頁1-32。[8] 顏秋來。政務官與事務官體制運作之研究。第二卷第一期，國家菁英，2006，頁21-28。[9] E. Bott and E. B. Spillius, Family and social network: Roles, norms and external relationships in ordinary urban families: Routledge, 2014.[10] P. J. Carrington, J. Scott, and S. Wasserman, Models and methods in social network analysis vol. 28: Cambridge university press, 2005.[11] R. Collins, Theoretical sociology: Harcourt College Pub, 1988.[12] L. d. F. Costa, O. N. Oliveira Jr, G. Travieso, F. A. Rodrigues, P. R. Villas Boas, L. Antiqueira, et al., "Analyzing and modeling real-world phenomena with complex networks: a survey of applications," Advances in Physics, vol. 60, pp. 329-412, 2011.[13] C. Dwork, R. Kumar, M. Naor, and D. Sivakumar, "Rank aggregation methods for the web," in Proceedings of the 10th international conference on World Wide Web, 2001, pp. 613-622.[14] S. M. Farmer and H. Aguinis, "Accounting for subordinate perceptions of supervisor power: an identity-dependence model," Journal of Applied Psychology, vol. 90, p. 1069, 2005.[15] S. L. Feld and B. Grofman, "Toward a sociometric theory of representation: Representing individuals enmeshed in a social network," The small world, pp. 100-107, 1989.[16] L. Freeman, "The development of social network analysis," A Study in the Sociology of Science, 2004.[17] L. C. Freeman, "Centrality in social networks conceptual clarification," Social networks, vol. 1, pp. 215-239, 1979.[18] J. R. French, B. Raven, and D. Cartwright, "The bases of social power," Classics of organization theory, pp. 311-320, 1959.[19] L. J. Hanifan, "The rural school community center," Annals of the American Academy of political and Social Science, vol. 67, pp. 130-138, 1916.[20] T. H. Haveliwala, "Topic-sensitive pagerank," in Proceedings of the 11th international conference on World Wide Web, 2002, pp. 517-526.[21] G. Jeh and J. Widom, "Scaling personalized web search," in Proceedings of the 12th international conference on World Wide Web, 2003, pp. 271-279.[22] B. Kapferer, Norms and the manipulation of relationships in a work context, 1969.[23] M. G. Kendall, "A new measure of rank correlation," Biometrika, pp. 81-93,1938.[24] H. Kwak, C. Lee, H. Park, and S. Moon, "What is Twitter, a social network or a news media?," in Proceedings of the 19th international conference on World wide web, 2010, pp. 591-600.[25] N. Lin, "Building a network theory of social capital," Connections, vol. 22, pp. 28-51, 1999.[26] S. McDonald and G. H. Elder, "When does social capital matter? Non-searching for jobs across the life course," Social Forces, vol. 85, pp.521-549, 2006.[27] G. Morgan, F. Gregory, and C. Roach, "Images of organization," 1997.[28] R. J. Nemeth and D. A. Smith, "International trade and world-system structure: A multiple network analysis," Review (Fernand Braudel Center), pp. 517-560, 1985.[29] M. E. Newman, "The mathematics of networks," The new palgrave encyclopedia of economics, vol. 2, pp. 1-12, 2008.[30] L. Page, S. Brin, R. Motwani, and T. Winograd, "The PageRank citation ranking: bringing order to the Web," 1999.[31] E. M. Rogers, Diffusion of innovations: Simon and Schuster, 2010.[32] B. Thurman, "In the office: Networks and coalitions," Social networks, vol. 2, pp. 47-63, 1980.[33] E. P. Zeggelink, F. N. Stokman, and G. G. Van De Bunt, "The emergence of groups in the evolution of friendship networks," Journal of Mathematical Sociology, vol. 21, pp. 29-55, 1996.[34] J. Zhang, M. S. Ackerman, and L. Adamic, "Expertise networks in online communities: structure and algorithms," in Proceedings of the 16th international conference on World Wide Web, 2007, pp. 221-230. 描述 碩士
國立政治大學
資訊科學學系
102753017資料來源 http://thesis.lib.nccu.edu.tw/record/#G0102753017 資料類型 thesis dc.contributor.advisor 劉吉軒 zh_TW dc.contributor.advisor Liu, Jyi Shane en_US dc.contributor.author (作者) 梁裕閔 zh_TW dc.contributor.author (作者) Liang, Yu Min en_US dc.creator (作者) 梁裕閔 zh_TW dc.creator (作者) Liang, Yu Min en_US dc.date (日期) 2016 en_US dc.date.accessioned 3-二月-2016 12:14:15 (UTC+8) - dc.date.available 3-二月-2016 12:14:15 (UTC+8) - dc.date.issued (上傳時間) 3-二月-2016 12:14:15 (UTC+8) - dc.identifier (其他 識別碼) G0102753017 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/81200 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 資訊科學學系 zh_TW dc.description (描述) 102753017 zh_TW dc.description.abstract (摘要) 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。 zh_TW dc.description.abstract (摘要) 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. en_US dc.description.tableofcontents 第一章 緒論 21.1 研究背景 21.2 研究動機及目的 21.3 研究資料 31.3.1 總統府公報 41.3.2 中華民國官職資料庫 51.4 論文架構 5第二章 文獻探討 72.1 社會網絡分析 72.2 政治權力觀察 102.3 序列間關聯性分析方法介紹 122.4 小結 14第三章 政治職位從屬網絡建構與權力位階指標計算模型 153.1 政治職位從屬網絡建構 193.2 權力位階指標計算模型 203.2.1 權力的遞移概念 223.2.2 上司權力分配矩陣設計 223.2.3 實驗參數設計 233.2.4 官員資歷矩陣設計 233.2.5 權力位階指標與PageRank之比較 26第四章 實驗結果與分析 294.1 實驗資料 304.2 權力位階指標中參數之分析探討 314.3 權力位階指標比較分析 364.4 總統任期內各官員之權力排名分析 394.5 以政黨為觀察角度之官員排名分析 434.6 整體時間內官員之權力排名分析 464.7 官員權力位階指標評估 494.8 實驗結果分析與討論 60第五章 結論與未來研究方向 615.1 研究結論 615.2 未來研究方向 62References 64附錄 1附錄A：研究資料表(以國家傳播委員會為例) 1附錄B：官員資歷分數表 3 zh_TW dc.format.extent 1600995 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0102753017 en_US dc.subject (關鍵詞) 社會網絡分析 zh_TW dc.subject (關鍵詞) 政治權力關係 zh_TW dc.subject (關鍵詞) 資料分析 zh_TW dc.subject (關鍵詞) 權力位階探討 zh_TW dc.subject (關鍵詞) 政治影響力分析 zh_TW dc.subject (關鍵詞) Social Network Analysis en_US dc.subject (關鍵詞) Political Power Relationship en_US dc.subject (關鍵詞) Data Analysis en_US dc.subject (關鍵詞) Power Ranking Study en_US dc.subject (關鍵詞) Political Influence Analysis en_US dc.title (題名) 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 zh_TW dc.title (題名) Political Power Network Analysis - A Case Study with the R.O.C. High-Ranking Executive Officials en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) [1] 沈曜廷。應用社會網絡連結預測理論於政府官員職務繼任分析。國立政治大學資訊科學系碩士論文，2011。[2] 林岡隆。政府官員異動之社會網絡分析。國立政治大學資訊科學系碩士論文，2009。[3] 林專耀。以多觀點社群網絡模型應用於政府官職繼任評選之探討。國立政治大學資訊科學系碩士論文，2013。[4] 莊婉君。事件導向動態社會網絡分析應用於政治權力變化之觀察。國立政治大學資訊科學系碩士論文，2011。[5] 林嘉誠。政務首長的流動分析 2000.5-2007.5。第三卷第四期，國家菁英, 2006，頁1-28。[6] 胡龍騰。政黨輪替前後高階行政主管流動之比較。第三卷第四期，國家菁英，2007，頁31-42。[7] 劉吉軒。中華民國政府官職資料庫發展與應用。圖書與資訊學刊， 2012，頁1-32。[8] 顏秋來。政務官與事務官體制運作之研究。第二卷第一期，國家菁英，2006，頁21-28。[9] E. Bott and E. B. Spillius, Family and social network: Roles, norms and external relationships in ordinary urban families: Routledge, 2014.[10] P. J. Carrington, J. Scott, and S. Wasserman, Models and methods in social network analysis vol. 28: Cambridge university press, 2005.[11] R. Collins, Theoretical sociology: Harcourt College Pub, 1988.[12] L. d. F. Costa, O. N. Oliveira Jr, G. Travieso, F. A. Rodrigues, P. R. Villas Boas, L. Antiqueira, et al., "Analyzing and modeling real-world phenomena with complex networks: a survey of applications," Advances in Physics, vol. 60, pp. 329-412, 2011.[13] C. Dwork, R. Kumar, M. Naor, and D. Sivakumar, "Rank aggregation methods for the web," in Proceedings of the 10th international conference on World Wide Web, 2001, pp. 613-622.[14] S. M. Farmer and H. Aguinis, "Accounting for subordinate perceptions of supervisor power: an identity-dependence model," Journal of Applied Psychology, vol. 90, p. 1069, 2005.[15] S. L. Feld and B. Grofman, "Toward a sociometric theory of representation: Representing individuals enmeshed in a social network," The small world, pp. 100-107, 1989.[16] L. Freeman, "The development of social network analysis," A Study in the Sociology of Science, 2004.[17] L. C. Freeman, "Centrality in social networks conceptual clarification," Social networks, vol. 1, pp. 215-239, 1979.[18] J. R. French, B. Raven, and D. Cartwright, "The bases of social power," Classics of organization theory, pp. 311-320, 1959.[19] L. J. Hanifan, "The rural school community center," Annals of the American Academy of political and Social Science, vol. 67, pp. 130-138, 1916.[20] T. H. Haveliwala, "Topic-sensitive pagerank," in Proceedings of the 11th international conference on World Wide Web, 2002, pp. 517-526.[21] G. Jeh and J. Widom, "Scaling personalized web search," in Proceedings of the 12th international conference on World Wide Web, 2003, pp. 271-279.[22] B. Kapferer, Norms and the manipulation of relationships in a work context, 1969.[23] M. G. Kendall, "A new measure of rank correlation," Biometrika, pp. 81-93,1938.[24] H. Kwak, C. Lee, H. Park, and S. Moon, "What is Twitter, a social network or a news media?," in Proceedings of the 19th international conference on World wide web, 2010, pp. 591-600.[25] N. Lin, "Building a network theory of social capital," Connections, vol. 22, pp. 28-51, 1999.[26] S. McDonald and G. H. Elder, "When does social capital matter? Non-searching for jobs across the life course," Social Forces, vol. 85, pp.521-549, 2006.[27] G. Morgan, F. Gregory, and C. Roach, "Images of organization," 1997.[28] R. J. Nemeth and D. A. Smith, "International trade and world-system structure: A multiple network analysis," Review (Fernand Braudel Center), pp. 517-560, 1985.[29] M. E. Newman, "The mathematics of networks," The new palgrave encyclopedia of economics, vol. 2, pp. 1-12, 2008.[30] L. Page, S. Brin, R. Motwani, and T. Winograd, "The PageRank citation ranking: bringing order to the Web," 1999.[31] E. M. Rogers, Diffusion of innovations: Simon and Schuster, 2010.[32] B. Thurman, "In the office: Networks and coalitions," Social networks, vol. 2, pp. 47-63, 1980.[33] E. P. Zeggelink, F. N. Stokman, and G. G. Van De Bunt, "The emergence of groups in the evolution of friendship networks," Journal of Mathematical Sociology, vol. 21, pp. 29-55, 1996.[34] J. Zhang, M. S. Ackerman, and L. Adamic, "Expertise networks in online communities: structure and algorithms," in Proceedings of the 16th international conference on World Wide Web, 2007, pp. 221-230. zh_TW
