Identifying Unusual Blog Entries : A Behavioral Approach Analyzing Blogger's “Friends”

• Item type: SIG Technical Reports(1)
• 公開日: 2008-05-16
• タイトル: Identifying Unusual Blog Entries : A Behavioral Approach Analyzing Blogger's “Friends”
• タイトル / 言語: en
• タイトル: Identifying Unusual Blog Entries : A Behavioral Approach Analyzing Blogger's “Friends”
• 言語: eng
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: NTT Cyber Solutions Laboratories NTT Corporation
• 著者所属: NTT Cyber Solutions Laboratories NTT Corporation
• 著者所属: NTT Cyber Solutions Laboratories NTT Corporation
• 著者所属: NTT Cyber Solutions Laboratories NTT Corporation
• 著者所属(英): en
• 著者所属(英): NTT Cyber Solutions Laboratories, NTT Corporation
• 著者所属(英): en
• 著者所属(英): NTT Cyber Solutions Laboratories, NTT Corporation
• 著者所属(英): en
• 著者所属(英): NTT Cyber Solutions Laboratories, NTT Corporation
• 著者所属(英): en
• 著者所属(英): NTT Cyber Solutions Laboratories, NTT Corporation
• 著者名: RolandHou-YinHui; Akihiro, Miyata; Harumi, Kawashima; Hidenori, Okuda
• 著者名(英): Roland, Hou-YinHui; Akihiro, Miyata; Harumi, Kawashima; Hidenori, Okuda
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Unusual events in life are often the events we treasure find interesting and consequently share with friends. We present a behavioral method to identify unusual blog entries within a blog by evaluating comment senders' behaviors. Reader Feedback Vector (RFV) represents each blog entry with a comment sender properties vector and examines each vector for any indication of abnormal comment sender behaviors. An Intimacy Score which measures the “friendship” level between each comment sender and blogger is used to weigh each comment sender's properties. This ensures that comment senders who are deemed more “intimate” with the blogger are evaluated more importantly. RFV is subjected to a human-based analysis which asks each test subject to compare the results from RFV to the results from a text-based approach. A second similar test evaluates the significance of Intimacy Score by comparing RFV with and without Intimacy Score (RFV-IS vs. RFV). RFV-IS performed better by returning more unusual blog entries than its counterpart.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Unusual events in life are often the events we treasure, find interesting and consequently share with friends. We present a behavioral method to identify unusual blog entries within a blog by evaluating comment senders' behaviors. Reader Feedback Vector (RFV) represents each blog entry with a comment sender properties vector and examines each vector for any indication of abnormal comment sender behaviors. An Intimacy Score, which measures the “friendship” level between each comment sender and blogger, is used to weigh each comment sender's properties. This ensures that comment senders who are deemed more “intimate” with the blogger are evaluated more importantly. RFV is subjected to a human-based analysis which asks each test subject to compare the results from RFV to the results from a text-based approach. A second similar test evaluates the significance of Intimacy Score by comparing RFV with and without Intimacy Score (RFV-IS vs. RFV). RFV-IS performed better, by returning more unusual blog entries than its counterpart.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA1155524X
• 書誌情報: 情報処理学会研究報告グループウェアとネットワークサービス（GN）; 巻 2008, 号 48(2008-GN-068), p. 31-36, 発行日 2008-05-16
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会