Presentation 2012-12-13
Time Series Analysis Regarding SNS data for Detecting Privacy Communitys
Yang SONG, Takayuki KOYAMA, Shimon MACHIDA, Shigeru SHIMADA,
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Abstract(in English) Recently, people can easily post to the SNS. Because of this, privacy invasion caused by careless posting is increasing. Privacy policy is frequently changing by the SNS, it is not enough to protect their privacy. Because, people have own interpretation of privacy. However, the interpretation of privacy is different from one community to another. Moreover, its interpretation changes over time. We analyzed Tweet archive with words and time series analysis for excluding related current news from large amount of SNS archive for the past four years. Consequently, we found trends and different community characteristics in our analysis.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Privacy Invasion / SNS / Time Series Analysis / SNS Community
Paper # DE2012-28
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Conference Information
Committee DE
Conference Date 2012/12/5(1days)
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Paper Information
Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Time Series Analysis Regarding SNS data for Detecting Privacy Communitys
Sub Title (in English)
Keyword(1) Privacy Invasion
Keyword(2) SNS
Keyword(3) Time Series Analysis
Keyword(4) SNS Community
1st Author's Name Yang SONG
1st Author's Affiliation Tokyo Metropolitan University AIIT()
2nd Author's Name Takayuki KOYAMA
2nd Author's Affiliation Tokyo Metropolitan University AIIT
3rd Author's Name Shimon MACHIDA
3rd Author's Affiliation Tokyo Metropolitan University AIIT
4th Author's Name Shigeru SHIMADA
4th Author's Affiliation Tokyo Metropolitan University AIIT
Date 2012-12-13
Paper # DE2012-28
Volume (vol) vol.112
Number (no) 346
Page pp.pp.-
#Pages 6
Date of Issue