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題名 社會網路分析應用於台灣企業持股關係研究
Study of Social Network Analysis For Corporate Holding Relationship in Taiwan作者 王連成
Wang, Lian Cheng貢獻者 劉吉軒
Liu, Jyi Shane
王連成
Wang, Lian Cheng關鍵詞 社會網路分析
台灣企業
台灣產業
持股關係
資料分析
Social Network Analysis
Taiwanese Enterprise
Taiwanese Industry
Holding Relationship
Data Analysis日期 2016 上傳時間 22-Aug-2016 11:07:23 (UTC+8) 摘要 隨著時間的推移和科技的進展，現今已是資訊化的時代，而數位資料的成長也因而與日俱增。為了有效的處理分析這些大量資料及探勘潛藏的關聯資訊，我們必須倚靠電腦計算的輔助及社會網路分析方法。社會網路分析能夠幫助我們整合資料之間的關聯性，並能夠觀察個體之間的互動行為及探討群體組成的結構性，而藉此可進一步挖掘資料中隱含的資訊意義。本研究以台灣企業之間的持股關係作為研究主軸，嘗試透過公司之間的從屬控制關係，以此模擬建構台灣企業之持股關係網路，以進而用社會網路分析方法來對資料做整體系統式的量化分析。本研究在實驗方法上，嘗試改良過往在持股關係網路中，公司間持股關係失真的連結權值計算問題，同時也將持股關係劃分為持股與被持股兩種情形作細部探討。本研究的實驗重心為針對選定的產業類別及企業集團做持股關係探討，在分析過程中，將透過使用各種社會網路分析指標，以此來對各公司做多角度的量化觀察及詮釋，藉此以期望對台灣企業的持股關係之分析，有更多元性的客觀研究結果。
As time go on and the advancement of technology, nowadays is the information era; amounts of digital data is increasing daily. In order to effectively deal and analysis these large amounts of data while mining potentially related information, we must rely on SNA (Social Network Analysis) and calculation of computer. SNA can help us that to integrate relationship among data, observe the interaction between individuals and discussion on the structural composition of the group, so that we can mining implied meaning of information among data. The core issue of our research is analysis for corporate holding relationship in Taiwan. We try to apply subordinate-and-supervisor relationship, so that we can simulate and construct the relation network for corporate holding relationship in Taiwan. In this study, we try to modify the flaw of compute for link weight and improve truth for holding relationship on the relation network in the past. In addition, we discuss holding relationship in more detail through divided holding relationship into two cases: holding and holder by others. The core experiment of our research is analysis for corporate holding relationship on industry and enterprise. In the experiment, we use all kinds of indicator from SNA, so that we can quantify and observe multi-angle holding relationship for each company, thus helping us get more objective results and more diversity analysis for corporate holding relationship in Taiwan.參考文獻 [1] 許振明，企業交叉持股與改善之道，證券暨期貨市場發展研討會論文集，1999。[2] A.Barrat, M.Weigt, On the properties of small-world network models, The European Physical Journal B, vol.13, Issue 3, pp.547-560, 2000.[3] C.Prem Sankar, K.Asokan, K.Satheesh Kumar, Exploratory social network analysis of affiliation networks of Indian listed companies, Journal of Social Networks, vol. 43, pp. 113–120, 2015.[4] Carlos Rafael Avina-Vazquez, Shahzad Uddin, Network of Board of Directors in Mexican Corporations: A Social Network Analysis, APIRA Conference, 2013.[5] Eelke M.Heemskerk1, Fabio Daolio, Marco Tomassini, The Community Structure of the European Network of Interlocking Directorates 2005–2010, Journal of PLOS ONE, 2013.[6] Ettore Croci, Rosanna Grassi, The economic effect of interlocking directorates in Italy: new evidence using centrality measures, Computational and Mathematical Organization Theory, vol.20, Issue 1, pp.89-112, 2014.[7] Eelke M.Heemskerk, The social field of the European Corporate Elite: A network analysis of interlocking directorates among Europe’s largest corporate boards, Forthcoming in Global Networks, vol.11, Issue 4, pp.440–460, 2011.[8] E.Bott, E.B.Spillius, Family and social network: Roles, norms and external relationships in ordinary urban families: Routledge, 2014.[9] Gisela Bichler, Andrea Schoepfer, Stacy Bush, White Collars and Black Ties: Interlocking Social Circles of Elite Corporate Offenders, Journal of Contemporary Criminal Justice, pp.1-18, 2014.[10] Julian Cardenas, Are Latin America’s corporate elites transnationally interconnected? , Journal of Transnational affairs, vol.15, Issue 4, pp.424-445, 2014.[11] Linton C.Freeman, Centrality in Social Networks Conceptual Clarification, Journal of Social Networks, vol.1, Issue 3, pp.215–239, 1979.[12] L.Freeman, The development of social network analysis: A Study in the Sociology of Science, 2004.[13] L.Page, S.Brin, R.Motwani, T.Winograd, The PageRank citation ranking: bringing order to the Web, 1999.[14] M.E.J.Newman, Models of the Small World, Journal of Statistical Physics, vol.101, Issue 3-4, pp.819-841, 2000.[15] M.G.Kendall, A new measure of rank correlation, Biometrika, pp.81-93, 1938.[16] Nan Zhou, Andrew Delios, Diversification and diffusion: A social networks and institutional perspective, Asia Pacific Journal of Management, vol.29, Issue 3, pp.773-798, 2010.[17] P.J.Carrington, J.Scott, S.Wasserman, Models and methods in social network analysis, vol.28: Cambridge university press, 2005.[18] R.J.Nemeth, D.A.Smith, International trade and world-system structure: A multiple network analysis, Review (Fernand Braudel Center), pp.517-560, 1985.[19] Stephen P.Borgatti, Centrality and network flow, Journal of Social Networks, vol.27, Issue 1, pp.55–71, 2005.[20] Stephen P.Borgatti, Martin G.Everett, A Graph-theoretic perspective on centrality, Journal of Social Networks, vol.28, Issue 4, pp.466–484, 2006.[21] Vidovich.L, Currie.J, Governance Networks; Interlocking Directorships of Corporate and Nonprofit Boards, Nonprofit Management and Leadership, vol.22, pp.507-523, 2012.[22] Windolf Paul, The Corporate Network in Germany 1896 - 2010, The power of corporate networks : a comparative and historical perspective, pp.66-85, 2014.[23] Yvonne Ho, Hongjen Chiu, A social network analysis of leading semiconductor companies’knowledge flow network, Asia Pacific Journal of Management, vol.30, Issue 4, pp.1265-1283, 2011.[24] Zeggelink.P.E, Stokman.N.F, Van De Bunt.G.G, The emergence of groups in the evolution of friendship networks, Journal of Mathematical Sociology, vol.21, Issue 1-2, pp.29-55, 1996. 描述 碩士
國立政治大學
資訊科學學系
103753021資料來源 http://thesis.lib.nccu.edu.tw/record/#G0103753021 資料類型 thesis dc.contributor.advisor 劉吉軒 zh_TW dc.contributor.advisor Liu, Jyi Shane en_US dc.contributor.author (Authors) 王連成 zh_TW dc.contributor.author (Authors) Wang, Lian Cheng en_US dc.creator (作者) 王連成 zh_TW dc.creator (作者) Wang, Lian Cheng en_US dc.date (日期) 2016 en_US dc.date.accessioned 22-Aug-2016 11:07:23 (UTC+8) - dc.date.available 22-Aug-2016 11:07:23 (UTC+8) - dc.date.issued (上傳時間) 22-Aug-2016 11:07:23 (UTC+8) - dc.identifier (Other Identifiers) G0103753021 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/100501 - 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) 103753021 zh_TW dc.description.abstract (摘要) 隨著時間的推移和科技的進展，現今已是資訊化的時代，而數位資料的成長也因而與日俱增。為了有效的處理分析這些大量資料及探勘潛藏的關聯資訊，我們必須倚靠電腦計算的輔助及社會網路分析方法。社會網路分析能夠幫助我們整合資料之間的關聯性，並能夠觀察個體之間的互動行為及探討群體組成的結構性，而藉此可進一步挖掘資料中隱含的資訊意義。本研究以台灣企業之間的持股關係作為研究主軸，嘗試透過公司之間的從屬控制關係，以此模擬建構台灣企業之持股關係網路，以進而用社會網路分析方法來對資料做整體系統式的量化分析。本研究在實驗方法上，嘗試改良過往在持股關係網路中，公司間持股關係失真的連結權值計算問題，同時也將持股關係劃分為持股與被持股兩種情形作細部探討。本研究的實驗重心為針對選定的產業類別及企業集團做持股關係探討，在分析過程中，將透過使用各種社會網路分析指標，以此來對各公司做多角度的量化觀察及詮釋，藉此以期望對台灣企業的持股關係之分析，有更多元性的客觀研究結果。 zh_TW dc.description.abstract (摘要) As time go on and the advancement of technology, nowadays is the information era; amounts of digital data is increasing daily. In order to effectively deal and analysis these large amounts of data while mining potentially related information, we must rely on SNA (Social Network Analysis) and calculation of computer. SNA can help us that to integrate relationship among data, observe the interaction between individuals and discussion on the structural composition of the group, so that we can mining implied meaning of information among data. The core issue of our research is analysis for corporate holding relationship in Taiwan. We try to apply subordinate-and-supervisor relationship, so that we can simulate and construct the relation network for corporate holding relationship in Taiwan. In this study, we try to modify the flaw of compute for link weight and improve truth for holding relationship on the relation network in the past. In addition, we discuss holding relationship in more detail through divided holding relationship into two cases: holding and holder by others. The core experiment of our research is analysis for corporate holding relationship on industry and enterprise. In the experiment, we use all kinds of indicator from SNA, so that we can quantify and observe multi-angle holding relationship for each company, thus helping us get more objective results and more diversity analysis for corporate holding relationship in Taiwan. en_US dc.description.tableofcontents 第一章 緒論 11.1 研究背景 11.2 研究動機與目的 11.3 研究資料 21.4 論文架構 7第二章 文獻探討 82.1 社會網路分析與應用 82.2 台灣企業之股權結構 102.3 小結 12第三章 研究設計與網路架構 133.1 連結權值之相對持股計算式 133.2 相關社會網路分析指標詮釋與應用 243.3 產業類別區分與正規表示式 273.4 台灣企業與個體網路拓樸 29第四章 實驗結果與分析 334.1 台灣公司持股關係之整體趨勢與關聯分析 334.2 台灣各產業類別之網路分析與比較 384.3 台灣各關係企業之網路分析與比較 60第五章 研究結論與未來展望 1135.1 結論 1135.2 未來展望 114References 115附錄 118附錄A：裕融集團之各項指標分數統計表 118附錄B：統一集團之各項指標分數統計表 122附錄C：新光集團之各項指標分數統計表 124附錄D：台塑集團之各項指標分數統計表 126附錄E：永豐餘集團之各項指標分數統計表 128附錄F：東森集團之各項指標分數統計表 130 zh_TW dc.format.extent 5421560 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0103753021 en_US dc.subject (關鍵詞) 社會網路分析 zh_TW dc.subject (關鍵詞) 台灣企業 zh_TW dc.subject (關鍵詞) 台灣產業 zh_TW dc.subject (關鍵詞) 持股關係 zh_TW dc.subject (關鍵詞) 資料分析 zh_TW dc.subject (關鍵詞) Social Network Analysis en_US dc.subject (關鍵詞) Taiwanese Enterprise en_US dc.subject (關鍵詞) Taiwanese Industry en_US dc.subject (關鍵詞) Holding Relationship en_US dc.subject (關鍵詞) Data Analysis en_US dc.title (題名) 社會網路分析應用於台灣企業持股關係研究 zh_TW dc.title (題名) Study of Social Network Analysis For Corporate Holding Relationship in Taiwan en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) [1] 許振明，企業交叉持股與改善之道，證券暨期貨市場發展研討會論文集，1999。[2] A.Barrat, M.Weigt, On the properties of small-world network models, The European Physical Journal B, vol.13, Issue 3, pp.547-560, 2000.[3] C.Prem Sankar, K.Asokan, K.Satheesh Kumar, Exploratory social network analysis of affiliation networks of Indian listed companies, Journal of Social Networks, vol. 43, pp. 113–120, 2015.[4] Carlos Rafael Avina-Vazquez, Shahzad Uddin, Network of Board of Directors in Mexican Corporations: A Social Network Analysis, APIRA Conference, 2013.[5] Eelke M.Heemskerk1, Fabio Daolio, Marco Tomassini, The Community Structure of the European Network of Interlocking Directorates 2005–2010, Journal of PLOS ONE, 2013.[6] Ettore Croci, Rosanna Grassi, The economic effect of interlocking directorates in Italy: new evidence using centrality measures, Computational and Mathematical Organization Theory, vol.20, Issue 1, pp.89-112, 2014.[7] Eelke M.Heemskerk, The social field of the European Corporate Elite: A network analysis of interlocking directorates among Europe’s largest corporate boards, Forthcoming in Global Networks, vol.11, Issue 4, pp.440–460, 2011.[8] E.Bott, E.B.Spillius, Family and social network: Roles, norms and external relationships in ordinary urban families: Routledge, 2014.[9] Gisela Bichler, Andrea Schoepfer, Stacy Bush, White Collars and Black Ties: Interlocking Social Circles of Elite Corporate Offenders, Journal of Contemporary Criminal Justice, pp.1-18, 2014.[10] Julian Cardenas, Are Latin America’s corporate elites transnationally interconnected? , Journal of Transnational affairs, vol.15, Issue 4, pp.424-445, 2014.[11] Linton C.Freeman, Centrality in Social Networks Conceptual Clarification, Journal of Social Networks, vol.1, Issue 3, pp.215–239, 1979.[12] L.Freeman, The development of social network analysis: A Study in the Sociology of Science, 2004.[13] L.Page, S.Brin, R.Motwani, T.Winograd, The PageRank citation ranking: bringing order to the Web, 1999.[14] M.E.J.Newman, Models of the Small World, Journal of Statistical Physics, vol.101, Issue 3-4, pp.819-841, 2000.[15] M.G.Kendall, A new measure of rank correlation, Biometrika, pp.81-93, 1938.[16] Nan Zhou, Andrew Delios, Diversification and diffusion: A social networks and institutional perspective, Asia Pacific Journal of Management, vol.29, Issue 3, pp.773-798, 2010.[17] P.J.Carrington, J.Scott, S.Wasserman, Models and methods in social network analysis, vol.28: Cambridge university press, 2005.[18] R.J.Nemeth, D.A.Smith, International trade and world-system structure: A multiple network analysis, Review (Fernand Braudel Center), pp.517-560, 1985.[19] Stephen P.Borgatti, Centrality and network flow, Journal of Social Networks, vol.27, Issue 1, pp.55–71, 2005.[20] Stephen P.Borgatti, Martin G.Everett, A Graph-theoretic perspective on centrality, Journal of Social Networks, vol.28, Issue 4, pp.466–484, 2006.[21] Vidovich.L, Currie.J, Governance Networks; Interlocking Directorships of Corporate and Nonprofit Boards, Nonprofit Management and Leadership, vol.22, pp.507-523, 2012.[22] Windolf Paul, The Corporate Network in Germany 1896 - 2010, The power of corporate networks : a comparative and historical perspective, pp.66-85, 2014.[23] Yvonne Ho, Hongjen Chiu, A social network analysis of leading semiconductor companies’knowledge flow network, Asia Pacific Journal of Management, vol.30, Issue 4, pp.1265-1283, 2011.[24] Zeggelink.P.E, Stokman.N.F, Van De Bunt.G.G, The emergence of groups in the evolution of friendship networks, Journal of Mathematical Sociology, vol.21, Issue 1-2, pp.29-55, 1996. zh_TW
