RD-002 Web SNS Yuanyuan Wang Gouki Yasui Yuji Hosokawa Yukiko Kawai Toyokazu Akiyama Kazutoshi Sumiya 1. Twitter 1 Facebook 2 SNS SNS SNS Twitter SNS [1] SNS [2] Twitter Web Web Web Web SNS Web Web 2 Web SNS Web 1 https://twitter.com/ 2 http://www.facebook.com/ Web Web Web Web Web Web Web Web Web 1 Web 3 4 5 6 2. Web 1 Web Web Web Web Web WebSocket 7
1: Web SNS 1 Web Web 3. Web 2 Web Web Web Web URL Web 3 Web 3 https://twitter.com/@rtqaservice 2: Web Web 8
3.1 The Streaming APIs 2 Google Place API vervion 3 4 dm Web d=5 ID URL 3.2 t d n t i q i=1 i n 1 q (1) q t t 3.3 Web Web Web URL Web 3.4 Web 3.3 Web Web 3.1 4 https://developers.google.com/place/ The Streaming APIs 3.2 Web Web Web DB Web 3.5 Ajax Comet WebSocket Web Web Ajax Comet [3] WebSocket 5 Web The Streaming APIs DB 3.3 Web Web DB Web Web 3.4 Web Web 4. Web Web Apache httpd 2.4 java php5.5 Javascript Firefox23.0.1 2013 8 9 The Streaming APIs 20MB 4.1 The Streaming APIs version 1.1 6 1 132.2 29.9 146.1 46.20 Google Place API 5 http://gihyo.jp/dev/feature/01/websocket/0001 http://www.atmarkit.co.jp/ait/articles/1111/11/news135.html 6 https://dev.twitter.com/docs/streaming-apis 9
1: 50m 100m 300m 600m 800m 1km 1 35.710023 139.810702 58 68 86 148 216 269 269 2 35.681178 139.766085 64 247 350 682 1945 3093 3093 3 35.632518 139.881359 1 4 115 350 710 768 768 4 35.359796 138.727598 10 20 72 342 587 679 679 3: Web version 3 7 dm Twitter Twitter Twitter Twitter Web WebSocket 3 Web Web Web 1 2 7 https://developers.google.com/places/ Web Web Web 4.2 Web 2013 9 16 17 46 ( )( ) 9 29 19 09 90 orz Web Web Web Web Web 4.3 dm dm F 2013 9 16 20 9 14 16 20 1 100m 10
4: dm F 20 12 1 5 5 3 dm = dm dm = 1km 4 d 50m 100m 300m 600m 800m 1km F 50m 600m 300m 600m 0.70 50m 0.80 0.79 600m 0.60 1km 0.65 F 0.66 SNS Web Web 1 2 3 1 300 600m 4.4 4.4 3.2 1 11
5: 2 dm F 2 q ( ) i 1 n 1 + e x 1 q i=1 i x = i DF 5 F 1 4 0.79 0.67 0.65 0.89 F 0.66 0.76 4.5 4.3 4.4 dm 1 2 (2) d=1km d=600m d=1km 2 1 5. Twitter Twitter Arakawa [4] 12
100 1 1 Yamamoto Twitter [5, 6] [7] Twitter Lee [8] 3 Nichols [9] Ribeiro [10] [11] Kaneko [12] 2 SNS SNS [13] Takemura [14] Twitter Twitter Yahoo! [15] SVM [16] QA QA [17] Web QA SNS Web 6. SNS Web Web 4 Web SCOPE JSPS B 26280042 [1] Shingo Tajima, Taketoshi Ushiama: A Method for Composing Ad-hoc Following Networks on Twitter for Sharing Information among Event Participants, International Journal of ADADA, Vol. 17, No. 4, pp. 199-124, 2014. [2] 5 13
(DEIM Forum 2013) A3-2 2013 [3] Vol. 28 No. 4 pp. 196-205 2011 [4] Yutaka Arakawa, Shigeaki Tagashira and Akira Fukuda: Relationship Analysis between User s Contexts and Real InputWords through Twitter, IEEE Globecom 2010 Workshop on Ubiquitous Computing and Networks(UbiCoNet 2010), pp.1813-1817, 2010. [5] Shuhei Yamamoto and Tetsuji Satoh: Two Phase Extraction Method for Multi-label Classication of Real Life Tweets, In Proc. of the 15th International Conference on Information Integration and Web-based Applications & Services (iiwas 2013), pp. 16-25, 2013. [6] Shuhei Yamamoto and Tetsuji Satoh: Two Phase Extraction Method for Extracting Real Life Tweets using LDA, In Proc. of the 15th Asia- Pacific Web Conference (APWeb 2013), Lecture Notes in Computer Science 7808, pp. 340-347, 2013. [7] Takeshi Sakaki Makoto Okazaki and Yutaka Matsuo: Earthquake Shakes Twitter Users: Real-time Event Detection by Social Sensors, In Proc of the International World Wide Web Conference (WWW 2010) pp 851-860 2010. [8] Ryong Lee and Kazutoshi Sumiya: Measuring Geographical Regularities of Crowd Behaviors for Twitter-based Geo-social Event Detection, In Proc of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks (LBSN 2010), pp. 1-10, 2010. [11] Yusuke Nakaji and Keiji Yanai: Visualization of Real World Events with Geotagged Tweet Photos In Proc of IEEE ICME Workshop on Social Media Computing (SMC 2012) pp. 272-277, 2012. [12] Takamu Kaneko and Keiji Yanai: Visual Event Mining from Geo-tweet Photos, IEEE ICME Workshop on Social Multimedia Research (SMMR 2013), pp. 1-6, 2013. [13] Twitter 5 (DEIM Forum 2013) C1-4 2013 [14] Hikaru Takemura and Keishi Tajima: Tweet Classification Based on Their Lifetime Duration, In Proc. of the 21st ACM International Conference on Information and Knowledge Management (CIKM 2012), pp. 2367-2370, 2012. [15] QA NLP 2 2007 [16] Daisuke Kobayashi and Naohiro Matsumura: Automatic Gender Estimation of Bloggers Gender, In Proc. of International Conference on Weblogs and Social Media (ICWSM 2007), pp. 279-280, 2007. [17] Web 1 (DEIM Forum 2009) C4-6 2009 [18] 5 (DEIM Forum 2013) B5-1 2013 [9] Jeffrey Nichols, Jalal Mahmud and Clemens Drews: Summarizing Sporting Events Using Twitter. In Proc. of the 2012 ACM International Conference on Intelligent User Interfaces (IUI 2012), pp. 189-198, 2012. [10] S. S. Ribeiro, C. A. Davis, D. R. R. Oliveira, W. Meira, T. S. Goncalves and G. L. Pappa: Traffic Observatory: A System to Detect and Locate Traffic Events and Conditions Using Twitter. In Proc. of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN 2012), pp. 5-11, 2012. 14