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題名 Discovering political tendency in bulletin board discussions by social community analysis
作者 Lee, K.-C.;Shan, Mankwan
沈錳坤
貢獻者 資科系
關鍵詞 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
日期 2009-12
上傳時間 7-五月-2015 15:28:24 (UTC+8)
摘要 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.
關聯 4th International Conference on Digital Information Management, ICDIM 2009,1-5
資料類型 conference
DOI http://dx.doi.org/10.1109/ICDIM.2009.5356800
dc.contributor 資科系
dc.creator (作者) Lee, K.-C.;Shan, Mankwan
dc.creator (作者) 沈錳坤zh_TW
dc.date (日期) 2009-12
dc.date.accessioned 7-五月-2015 15:28:24 (UTC+8)-
dc.date.available 7-五月-2015 15:28:24 (UTC+8)-
dc.date.issued (上傳時間) 7-五月-2015 15:28:24 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75022-
dc.description.abstract (摘要) 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.
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) 4th International Conference on Digital Information Management, ICDIM 2009,1-5
dc.subject (關鍵詞) 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
dc.title (題名) Discovering political tendency in bulletin board discussions by social community analysis
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1109/ICDIM.2009.5356800
dc.doi.uri (DOI) http://dx.doi.org/10.1109/ICDIM.2009.5356800