関連研究,.,,,.,Kaplan social present/ media richness, self presentation/self disclosure 6, 10 [Kaplan 10].,Kietzmann, identity, convers

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1 AI AKB48 89 エンターテイメントにおける AI AI 的 AKB48 論 An AI Approach to Analyze AKB48 松尾豊 Yutaka Matsuo Graduate School of Engineering, The University of Tokyo. 吉田宏司 Koji Yoshida 榊剛史 Takeshi Sakaki Keywords: AKB48, idol group, social media, social network analysis. 1. はじめに,AKB48.AKB,,. [ 13, 13],,,.,,,.,,,,.,,,, [ 12].,.,, Web,.,,,., [ 13, 11] [Ishii 13].,,., AKB48 Google Google 1,AKB48 メンバ.AKB48,,,. 200 Google,,,., AKB48,.,,,,.,,,,.,,.,,,,, 1

2 関連研究,.,,,.,Kaplan social present/ media richness, self presentation/self disclosure 6, 10 [Kaplan 10].,Kietzmann, identity, conversations, sharing, presence, relationships, reputation, group honeycomb framework, [Kietzmann 11].,.,2000 blog.,twitter, [Sakaki 10, 12].Chakrabarti, Twitter [Chakrabarti 11].,,.Twitter, [Asur 10], [Bollen 11], [Jansen 09].,Google,Google. Gonzalez,Google,Facebook Twitter.,Google,Facebook Twitter [Gonzalez 13].,Williams,Facebook [Williams 08].Tumasjan,Twitter, [Tumasjan 10].O Connor, Twitter [O Connor10]., American Idol Twitter [Fabio 12].,. AKB48,. AKB48,,AKB48 [ 12].,AKB48 [ 13, 13].,[ 13, 11],AKB,,.[Ishii 13],,SNS. AKB. 3. 分析対象のデータとその概要 3 1 データの取得 AKB48, , SKE48, NMB48, HKT48 200, CD.,, CD., 100.AKB48,, [ 12]. AKB48, Google AKB48 Google AKB48 on Google.,Google 55,Google AKB48. Google, Google.,, ,5.Google,,URL,,,.,,,, 3.

3 AI AKB48 91.,,,Facebook.,, Twitter.,Google AKB48, SKE48, NMB48, HKT48 219,,,.,,,AKB48, SKE48, NMB48, HKT , 3 Google API, , , , ,52, ,.,,,, 反応.,,,,., Google 1,ファン., AKB48,AKB48,.,, ファンの数に関する分析 Google,.,,.,,.,,, 図 1.,AKB48 27th 1.,,.,Google, Twitter 13. Twitter, ,Twitter ,.Twitter, ,, Goolge.,.,.,1,,, 1.,,.,,.,, www. nmb48.com, research.google.com/university/translate/terms. html 3 3 ファンの性質に関する分析,,.,,

92 30 1 2015 1,.,, AKB48,,,AKB48., AKB48,., 1,n n., 1, 2 9, 10 2., 10.,,.,, AKB48.,, 1.,.,, 4.,35 SKE48.,,. 図 2 4.AKB48 メンバのネットワーク分析,, 3.,,,. 図 3 4 1 ファンの類似に関する分析,,.

4 ,.,, AKB48,,,AKB48., AKB48,., 1,n n., 1, 2 9, 10 2., 10.,,.,, AKB48.,, 1.,.,, 4.,35 SKE48.,,. 図 2 4.AKB48 メンバのネットワーク分析,, 3.,,,. 図ファンの類似に関する分析,,., Jaccard.Jaccard, X, Y,XY, XY,XY/XY. Web,. m 1 m 2,m 1 U 1,m 2 U 2 Jaccard., 4., 64.,, 64, 1,,.Jaccard 0.3.,,.,,AKB48, SKE48, NMB48,.,.,, AKB48 CD,

5 AI AKB48 93 図 4 1 図 ,,. 30, 16.χ 2,, , 9.χ 2, 1.,,,,,.,[ 13]. 4 2 ファンの遷移に関する分析,,. m 1 m 2, m 1, m 2,., 4 u m 1, m 2 4 4, m , u 1 m 1 m 2 m 3, m 1 m 2, m 2 m 3. u 1 m 2, m 1, m 1 m 2, m 1 m 3., 図 6 3 m 2, m 3,, m 1 m 3.,,,., 5, m , m 2 4 4, m , m 1 m 2, m 2 m 3., 24,., 6, m 1 m 3, m 2 m 3. m 1 m ,1 API,, 7. 8., ,,. 7, , ,, 1,,Twitter Digg 4 4

94 30 1 2015 1,.,, 0.,,. 5. ネットワークに基づく支持獲得戦略図 7 図 8 AKB48 [Lerman 10]. 1 2 Google, 24,.,,.,,,., AKB48 46, 3. 8.,.,,,, AKB48, AKB48,AKB48.

6 ,.,, 0.,,. 5. ネットワークに基づく支持獲得戦略図 7 図 8 AKB48 [Lerman 10]. 1 2 Google, 24,.,,.,,,., AKB48 46, 3. 8.,.,,,, AKB48, AKB48,AKB48.AKB48, AKB48,, AKB48,.,,.,,.,,,.,, m, m,,.,.,web, Web [Brin 98].,,,,.,,.,,,,.,,,. m j j1, 2,, N mi1, i 2,, N wm j, m i, m j m i

7 AI AKB48 95 Lm j, m i m j Nm j. m i WPRm i,n,d,. 1,,,, m i, m j x, m j f x m j.wprm i w mj, m i,x, m i. f x m j WPRm i w mj, m i,x,,., x > 1.x , 5 x, 2.,,,. 表 ,,,,,,.,.,.,,. 6. おわりに,,,AKB48 Google,.,,,.,,.,AKB48,.,,,,,,, OB,. 参考文献 [Andranik 10] Andranik, T., Timm, O. S., Philipp, G. S. and Isabell, M. W.: Predicting elections with twitter: What 140 characters reveal about political sentiment, Proc. ICWSM, pp [Asur 10] Asur, S. and Huberman, B. A.: Predicting the future with social media, Proc. Computing, Vol. 1, No. 1, pp [Bollen 11] Bollen, J., Mao, H. and Zeng, X.-J.: Twitter mood predicts the stock market, J. Computational Science, Vol. 2, No. 1, pp [Brin 98] Brin, S. and Page, L.: The anatomy of a large-scale hypertextual web search engine, Proc. WWW, pp [Chakrabarti 11] Chakrabarti, D. and Punera, K.: Event summarization using tweets, Proc. ICWSM, pp [Fabio 12] Fabio, C., Delia, M., Andrea, B., Bruno, G., Nicola, P. and Alessandro, V.: Beating the news using social media: The case study of american idol, EPJ Data Science2012 [Gonzalez 13] Gonzalez, R., Cuevas, R., Motamedi, R., Rejaie, R. and Cuevas, A.: Googleor Google?: Dissecting the evolution of the new OSN in its first year, Proc. WWW, pp [Ishii 13] Ishii, A., Ota, S., Koguchi, H. and Uchiyama, K.: Quantitative analysis of social popularity of entertainments using mathematical model for hit phenomena for japanese pop girl group AKB48, Proc. Int. Conf. on Biometrics and Kansei Engineering, pp [Jansen 09] Jansen, B. J., Zhang, M., Sobel, K. and Chowdury, A.: Twitter power: Tweets as electronic word of mouth, J. American Society for Information Science, Vol. 60, No. 11, pp [Kaplan 10] Kaplan, A. M. and Haenlein, M.: Users of the world, unite! The challenges and opportunities of social media, Business Horizons, Vol. 53, No. 1, pp [Kietzmann 11] Kietzmann, J. H., Hermkens, K., McCarthy, I. P.

96 30 1 2015 1 and Silvestre, B. S.: Social media? Get serious! Understanding the functional building blocks of social media, Business Horizons, Vol. 54, No. 3, pp.

90-972010 [ 12] AKB48, 2012 [ 13] AKB48,,Vol. 22, pp. 43-632013 [O Connor 10] O Connor, B., Balasubramanyan, R., Routledge, B. R. and Smith, N. A.: From tweets to polls: Linking text sentiment to public opinion time series, Proc.

851-8602010 [ 12], : twitter:,, Vol. 27, No. 1, pp. 67-742012 [ 13] AKB, 2013 [ 13] AKB48,,Vol. 23, pp. 91-1142013 [Williams 08] Williams, C. B. and Gulati, G. J.

8 and Silvestre, B. S.: Social media? Get serious! Understanding the functional building blocks of social media, Business Horizons, Vol. 54, No. 3, pp [Lerman 10] Lerman, K. and Ghosh, R.: Information contagion: An empirical study of the spread of news on digg and twitter social networks, Proc. ICWSM, pp [ 12] AKB48, 2012 [ 13] AKB48,,Vol. 22, pp [O Connor 10] O Connor, B., Balasubramanyan, R., Routledge, B. R. and Smith, N. A.: From tweets to polls: Linking text sentiment to public opinion time series, Proc. ICWSM2010 [ 12], AKB48, 2012 [Sakaki 10] Sakaki, T., Okazaki, M. and Matsuo, Y.: Earthquake shakes twitter users: Real-time event detection by social sensors, Proc. WWW, pp [ 12], : twitter:,, Vol. 27, No. 1, pp [ 13] AKB, 2013 [ 13] AKB48,,Vol. 23, pp [Williams 08] Williams, C. B. and Gulati, G. J.: What is a social network worth? Facebook and vote share in the 2008 presidential primaries, Proc. APSA2008 [ 11],,2011 著者紹介松尾豊 , ,.,Web,. 吉田宏司 , Gunosy. 榊剛史 ,.,,,Web,

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main.dvi DEIM Forum 2015 D3-1 305-8573 1-1-1 305-8573 1-1-1 ( ) 151-0051 5-13-18 101-8430 2-1-2.com,,,, Market Share Estimation based on Statistics of Search Engine Suggests Takakazu IMADA,IchiroMORIYA, Yusuke