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 次の災害時、	

 ユーザーはTwi$erに	

 慣れているのか?	

 東日本大震災ビッグデータワークショップ Project311	
  
                     Oct.	
  28,	
  2012	


 東京大学大学院 理学系研究科 物理学専攻	
              	
  川本 達郎	
  
「災害対策」に	
  
ユーザーはついてこられるのか?	


震災のときにTwitterが騒がれて、たくさんの人がTwitterを使ったと思います。	
彼らは一時的なユーザーだったのでしょうか。	
それとも今でも活発に使っているのでしょうか。	




災害時だけの一時的な初心者ユーザーが	
多いのなら、それを考慮しておかないと、	
災害対策が“空回り”してしまう恐れがあります。
サンプル	


     震災から1週間以内で(日本語で)ツイートした	
  
     ユーザーの総数	
                           =	
  3,691,599	
  



    データを取得できたユーザー	
      3,444,326	
      93.3%	



 取得したユーザー中の公開ユーザー	
     3,323,342	
      96.5%
震災後の1週間で参入したユーザー	
                                       *総取得ユーザー数(3,444,326人)中の割合	




  ユーザー数	
     6.76%	
               232,818	
  




公開ユーザー数	
     6.46%	
              222,446	
  	
  


                                結構いますね。	
           時系列で見てみましょう	


  n  震災後参入ユーザーのうちの公開ユーザー: 22,446	
  /	
  232,818	
  =	
  95.5%	
  
  n  全ツイートのうちの震災後参入ユーザーの割合: 1.23%
震災後の1週間で	
  
            アカウント作成日の分布	
 つぶやいた全ユーザーの	




                               震災	




    震災直後にアカウントを作った
    人たちが確かにたくさんいます。	




   2007年3月	
       2010年4月	
          2011年3月	
   (目盛:	
  1日)
 アクティブユーザーは	

 どれくらい?	

    1.  全ユーザー	
  *	
  
    2.  震災後の1週間で参入したユーザー	

              *	
  震災後の1週間で1回以上つぶやいたユーザー全員
震災後の1週間で	
  
              最近の使用状況の分布	
 1.	
 つぶやいた全ユーザーの	


                     全ユーザー中、測定時から1000時間以内に	
  
                      つぶやいた人(アクティブユーザー)は	
  

                               67%	

   全ユーザー中、震災直後以来
    つぶやいていない人は	
  

        5%	




 震災	
                                            現在	
 (目盛:	
  1時間)
震災後の1週間で	
  
              最近の使用状況の分布	
 2.	
 参入したユーザーの	



         震災後に参入したユーザー中、震
         災直後以来つぶやいていない人は	
  

               35%	




  震災	
                         現在	
 (目盛:	
  1時間)
まとめ	

 震災の時に参入してきたユーザーは有意に
たくさん存在。(6.76%)	
  
  •  次の災害時も似たような事態になり得る。	
  •  その時限りの一時的なユーザーも多い。(35%)	


 	
全ユーザーでもアクティブユーザーは67%程度。	


 Twi$erは、ユーザー数は膨大になっても	
  
 アクティブでないユーザーも多いです。	
  
 	
  
 次の災害の対策(ハッシュタグの整備など)を練る際、	
  
 初心者に優しくないものだと、うまく機能しない恐れがあります。
謝辞	


l  オリジナルデータ: Twi$er	
  Japan	
  様	
  
l  改行加工コード: 岡崎直観 様	
  (東北大学)	
  
l  ユニークユーザー抽出データ: 佐野幸恵 様	
  (日本大学)	

                             データ、コードの提供ありがとうございました。	




使用したAPIコマンド:	
  
h$ps://api.twi$er.com/1/users/lookup.json	
  
APIを用いてcreated_at,	
  status-­‐>created_atを取得しました。	
  

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