國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

運用社會網絡分析法與網路探勘技術以發掘仇恨團體 = Discoverin...

吳峻興

運用社會網絡分析法與網路探勘技術以發掘仇恨團體 = Discovering Potential Hate Groups by Using the Technique of Social Networks Analysis and Web Mining

紀錄類型:	書目-語言資料,印刷品 : 單行本
並列題名:	Discovering Potential Hate Groups by Using the Technique of Social Networks Analysis and Web Mining
作者:	吳峻興,
其他團體作者:	國立高雄大學
出版地:	[高雄市]
出版者:	撰者;
出版年:	2013[民102]
面頁冊數:	64面圖，表格 : 30公分;
標題:	3C電子軟體產業仇恨團體
標題:	Hate Groups of “3C electronic software industry
電子資源:	http://handle.ncl.edu.tw/11296/ndltd/28705921038660364959
附註:	參考書目：面44-46
附註:	104年5月27日公開
摘要註:	隨著網際網路與通訊技術的蓬勃發展，人與人之間透過網路產生互動的管道可說是日益多元。加上近年Web 2.0概念導入網路世界，人們可以更自由地在網路上分享各自的資訊或想法。由此基礎衍生而出的虛擬線上社群網站，更是如雨後春筍般地出現。透過虛擬線上社群平台的管道，人們常藉由某幾種特定類型因素而相互依存，形成另一種社會網絡(social network)的型態。社會網絡帶來人與人訊息傳遞之便利，但伴隨而來的亦有網路濫用的問題。在帶有正面意象網絡生成的同時，負面意象網絡亦悄悄藉由網路逐漸成形（如：恐怖分子組織、仇恨團體……等）。而其中與我們最為貼身相關的便是仇恨團體。仇恨團體是指對某特定領域與對象（例如：種族、宗教、性別……等）提倡仇恨、敵視、暴力對待或發表言論予以牴觸的有組織團體或運動。本研究試圖透過社會網絡分析法與網頁探勘技術，以Facebook平台為資料來源，擷取以仇恨3C電子軟體產業之仇恨團體做為案例。解析仇恨團體社會網絡特徵與內容特徵，並透過資料探勘中的分類技術，發掘影響分類的重要關鍵字與社會網絡特徵，並針對實驗結果進行分析與探討。 With the rapid growth of Internet and communication technology, there are more and more channels for people to interact with each other. Furthermore, with the development of web 2.0 concept, people can more freely to share their information or ideas on the Internet. Base on this background, online social networking web sites sprung up on the Internet. Through the virtual online community platform, people are often interdependent by some factors of several specific types and form another kind of online community is called “social network”. Social networks make people easier to transmit messages with each other, but problematic internet use (PIU) is also accompanied. The more noteworthy of which and also frequently in our daily life are hate groups. In this study, Facebook has been selected as the primary source of data and we choose the groups that hate "3C electronic software industry" as a case study. We also attempts to use social network analysis and web mining techniques to retrieve the social networking features and content features of hate groups. Through the classification techniques of data mining, trying to find out the key features that can be used on discriminating hate groups or not.

運用社會網絡分析法與網路探勘技術以發掘仇恨團體 = Discovering Potential Hate Groups by Using the Technique of Social Networks Analysis and Web Mining
吳, 峻興

運用社會網絡分析法與網路探勘技術以發掘仇恨團體 = Discovering Potential Hate Groups by Using the Technique of Social Networks Analysis and Web Mining / 吳峻興撰 - [高雄市] : 撰者, 2013[民102]. - 64面 ; 圖，表格 ; 30公分.
參考書目：面44-46104年5月27日公開.
3C電子軟體產業仇恨團體Hate Groups of “3C electronic software industry

運用社會網絡分析法與網路探勘技術以發掘仇恨團體 = Discovering Potential Hate Groups by Using the Technique of Social Networks Analysis and Web Mining
LDR:03857nam0a2200289 450 001 360466
005 20170214100039.0
009 360466
010 0 $b 精裝
010 0 $b 平裝
100 $a 20170214d2013 k y0chiy05 e
101 1 $a chi $d chi $d eng
102 $a tw
105 $a ak am 000yy
200 1 $a 運用社會網絡分析法與網路探勘技術以發掘仇恨團體 $d Discovering Potential Hate Groups by Using the Technique of Social Networks Analysis and Web Mining $z eng $f 吳峻興撰
210 $a [高雄市] $c 撰者 $d 2013[民102]
215 0 $a 64面 $c 圖，表格 $d 30公分
300 $a 參考書目：面44-46
300 $a 104年5月27日公開
314 $a 指導教授：丁一賢博士
328 $a 碩士論文--國立高雄大學資訊管理學系碩士班
330 $a 隨著網際網路與通訊技術的蓬勃發展，人與人之間透過網路產生互動的管道可說是日益多元。加上近年Web 2.0概念導入網路世界，人們可以更自由地在網路上分享各自的資訊或想法。由此基礎衍生而出的虛擬線上社群網站，更是如雨後春筍般地出現。透過虛擬線上社群平台的管道，人們常藉由某幾種特定類型因素而相互依存，形成另一種社會網絡(social network)的型態。社會網絡帶來人與人訊息傳遞之便利，但伴隨而來的亦有網路濫用的問題。在帶有正面意象網絡生成的同時，負面意象網絡亦悄悄藉由網路逐漸成形（如：恐怖分子組織、仇恨團體……等）。而其中與我們最為貼身相關的便是仇恨團體。仇恨團體是指對某特定領域與對象（例如：種族、宗教、性別……等）提倡仇恨、敵視、暴力對待或發表言論予以牴觸的有組織團體或運動。本研究試圖透過社會網絡分析法與網頁探勘技術，以Facebook平台為資料來源，擷取以仇恨3C電子軟體產業之仇恨團體做為案例。解析仇恨團體社會網絡特徵與內容特徵，並透過資料探勘中的分類技術，發掘影響分類的重要關鍵字與社會網絡特徵，並針對實驗結果進行分析與探討。 With the rapid growth of Internet and communication technology, there are more and more channels for people to interact with each other. Furthermore, with the development of web 2.0 concept, people can more freely to share their information or ideas on the Internet. Base on this background, online social networking web sites sprung up on the Internet. Through the virtual online community platform, people are often interdependent by some factors of several specific types and form another kind of online community is called “social network”. Social networks make people easier to transmit messages with each other, but problematic internet use (PIU) is also accompanied. The more noteworthy of which and also frequently in our daily life are hate groups. In this study, Facebook has been selected as the primary source of data and we choose the groups that hate "3C electronic software industry" as a case study. We also attempts to use social network analysis and web mining techniques to retrieve the social networking features and content features of hate groups. Through the classification techniques of data mining, trying to find out the key features that can be used on discriminating hate groups or not.
510 1 $a Discovering Potential Hate Groups by Using the Technique of Social Networks Analysis and Web Mining $z eng
610 0 $a 3C電子軟體產業仇恨團體 $a 社會網絡分析 $a 網頁探勘 $a 資料探勘
610 1 $a Hate Groups of “3C electronic software industry $a Social Networks Analysis $a Web Mining $a Data Mining
681 $a 008M/0019 $b 464105 2627 $v 2007年版
700 1 $a 吳 $b 峻興 $4 撰 $3 592872
712 0 2 $a 國立高雄大學 $b 資訊管理學系碩士班 $3 353936
801 0 $a tw $b NUK $c 20130306 $g CCR
856 7 $z 電子資源 $2 http $u http://handle.ncl.edu.tw/11296/ndltd/28705921038660364959