政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/75022

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113822/144841 (79%)
Visitors : 51838635 Online Users : 438

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 > Item 140.119/75022

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75022

Title:	Discovering political tendency in bulletin board discussions by social community analysis
Authors:	Lee, K.-C.;Shan, Mankwan 沈錳坤
Contributors:	資科系
Keywords:	Bulletin board systems;Discussion boards;Graph clustering;Graph colorings;Graph partition;Linguistic analysis;Social communities;Social interactions;Social Networks;Clustering algorithms;Information management;Bulletin boards
Date:	2009-12
Issue Date:	2015-05-07 15:28:24 (UTC+8)
Abstract:	Bulletin Board System (BBS) is very popular and provide an asynchronous, text-based environment for users to exchange information and idea. A BBS consists of a number of discussion boards, each of which focuses on a particular subject. A discussion on a topic consists of a seed articles followed by some articles responsive to the seed article or other responsive articles. This paper investigates the social community analysis technique to discover the political tendency of users within the boards from discussions. We first extract the social interactions between users, such as "reply" and "advocate" ofposts between users. A social network among users is constructed based on the extracted social interaction. After building the social network, we employ the graph partition, graph coloring, and graph clustering algorithms respectively to discover the social communities. Users of the same community have more potential of political opinion agreement with each other. By using this approach, we are able to partition users into two opposite groups and identify their political tendency effectively without linguistic analysis of discussion content. © 2009 IEEE.
Relation:	4th International Conference on Digital Information Management, ICDIM 2009,1-5
Data Type:	conference
DOI 連結:	http://dx.doi.org/10.1109/ICDIM.2009.5356800
DOI:	10.1109/ICDIM.2009.5356800
Appears in Collections:	[資訊科學系] 會議論文

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML2	896	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...