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研究生:許靜瑋
研究生(外文):Jing-Wei Syu
論文名稱:應用社會網路分析方法建構股票價格連動性之研究
論文名稱(外文):Using SNA Analysis Approach in the Study of Stock Price Relationship
指導教授:陳大正陳大正引用關係
指導教授(外文):Ta-Cheng Chen
學位類別:碩士
校院名稱:國立虎尾科技大學
系所名稱:資訊管理系碩士班
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
語文別:中文
論文頁數:259
中文關鍵詞:社會網路分析社會網路Pearson相關係數動態時間軸校準
外文關鍵詞:Social Network AnalysisSocial NetworkDynamic Time Warping
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過去社會網路分析的研究中,社會網路圖內各參與者之間是否存在具時間序列調控關係的並未深入被探討,此訊息對於社會網路的分析者而言是一項非常珍貴的訊息,金融交易市場供應鏈中股票價格存在著價格連動性,因此本研究將以視覺化方式呈現金融股票市場的社會網路圖,公司在龐大的網路上形成關係密切的社群,股票價格的漲跌具有時間序列的調控關係,利用Pearson相關係數將兩間公司股價進行數列相似度計算,並獲得正負關係,在以動態時間軸校準(DTW)計算兩者是否具有延遲,藉此探勘出社會網路內任兩者之間是否具調控關係。

The existence of time series regulatory correlation among actors of a social network has not been investigated in depth in previous social network analyses. Such information is actually valuable to social network analyzers, especially about the correlation of stock prices within a supply chain. Our study, therefore, aims to visualize the social network graph in stock markets. In the massive social network composed of companies, the rise and fall of their stock index are temporally correlated. We use Pearson correlation coefficient to calculate the association of two companies’ stock prices and obtain positive or negative correlation. Then we measure if there is time delay between them with Dynamic Time Warping, and thereby determine the existence of a regulatory relationship between any two actors of a social network.

目錄
中文摘要.....................i
英文摘要.....................ii
誌謝........................iii
目錄.........................iv
表目錄.......................vi
圖目錄........................vii
第一章 緒論....................1
1.1 研究背景與動機...............1
1.2 研究目的..................3
1.3 研究步驟與流程...............4
1.4 研究內容與架構...............5
第二章 文獻探討..................6
2.1 社會網路分析................6
2.1.1 社會網路的元素.............7
2.1.2 社會網路的調控關係...........9
2.2 股票連動性................10
2.2.1. 新聞與股價連動之關係........11
2.3 文獻總結.................11
第三章 研究方法.................13
3.1 研究方法與架構..............13
3.1.1 大數據資料..............17
3.1.2 社會網路建構.............17
3.1.3 時間序列調控關係探勘.........17
3.1.4 Pearson相關係數........18
3.1.5 動態時間軸校準............19
第四章 實驗與結果................22
4.1. 資料來源與說明.............22
4.2. 實驗結果................23
4.3. 案例分析................26
4.3.1 太陽能產業群集為例..........26
第五章 結論與未來研究..............46
5.1 結論...................46
5.2 未來研究.................46
參考文獻.....................48
附錄.......................53
附錄1. 公司資料................53
附錄2. 社會網路圖...............88
附錄3. 實驗數據...............108
Extended Abstract.......242
簡歷(CV)..................249


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