SERPWatcher SERPWatcher SERP Watcher SERP Watcher,

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SERPWatcher 112-8610 2-1-1 112-8610 2-1-1 229-8558 5-10-1 E-mail: nakabe@db.is.ocha.ac.jp, chiemi@is.ocha.ac.jp SERPWatcher SERP Watcher SERP Watcher, SERP Analysis of transition of ranking in SERP Watcher for social science research Fumiko NAKABE, Chiemi WATANABE, Naoko OYAMA, Kaoru TACHI, and Yoshifumi MASUNAGA Ochanomizu University Graduate School of Humanities and Sciences 2 1 1 Otsuka, Bunkyou-ku, Tokyo, 112 8610 Japan Institute for Gender Studies, Ochanomizu University, 2-1-1 Otsuka, Bunkyo-ku, Tokyo, Japan 112-8610 School of Social Informatics, Sagamihara-shi, Kanagawa, Japan 229-8558 E-mail: nakabe@db.is.ocha.ac.jp, chiemi@is.ocha.ac.jp Abstract We develop the system named SERP Watcher for social science researchers to analyze transition of the ranking. The motivation of the system is based on our empirical knowledge that the ranking transitions of search engines seem to be related to social trends in the real world. SERP watcher collects ranking data of multiple search engines several times a week,and users can see the ranking transition of Web pages and they can also compare the rankings in multiple search engines. However,it is difficult that social scientists can find some relations between ranking transition and the social trends by seeing only rankings data. In this paper, we tried two types of analysis by using ranking transition data.one is extracting turning points of ranking transition by using interval least squares method,and the other is finding Web pages whose rank in a particular search engine is much difference from other search engines. Key words Web mining, Social science, Research methodology, Search engine, SERP 1. (search engine result page,serp) [1] [2] [3] SERP Watcher SERP Watcher SERP SERP SERPWatcher SERP SERPWatcher

2 3 SERP Watcher 4 6 SERPWatcher 7 2. Web [4] 2009 Web Web Web Web [5] 2003 1999 2002 Web [6] 2009 Web Web [7] 2005 Web Web 3. SERP Watcher SERPWatcher 3. 1 SERP Watcher SERP Watcher SERP Watcher 1 step1: step2: step3: SERPWatcher step1 1 SERP Watcher step2 3. 2 SERP Watcher SERPWatcher SERP Watcher 7 1 500 Google Yahoo!Japan msn infoseek baidu excite goo 501 501 SERP 3 SERP Watcher Web SERPWatcher Web 3 2 2 () Web Web 3 Web 4 Web Web 7

4. Web 3 Web SERPWatcher Web (1) (2) (3) 4 Web 4. 1 3 2 Web Web SERPWatcher 2 Web 3 3. 3 SERP Watcher SERPWatcher 2 30 20 5 Web 500 95 Web 300 250 (1) 1 score = 250 (1 ) (1) 2a rank rank score rank a a 3 a=0.1( ) a=0.3( ) a=0.1( ) Web 30 30 2009 7 50

(2) lean lean = (ed score st score)/((ed wdate st wdate)/7)+1(2) 5 30 2009 6 7 a=0.03() 200 2009 10 160 80 4. 2 [9] 2 Web () 6 google st date ed date st score ed score 4. 3 5. 5. 1 Web 7 7 6 2009/1/1 2010/2/12 2009 6 2009 9 2009 10 2010 1 Web 2009 1 2010 2 12 0 0

7 2009 5 2 2 0 5. 2 Web 4 3 8 1 0 0 1 Web 8 ( ) 2 2 3 Web 8 (B) 2009 3 4 3 28 6 107 3 Web 1 3 4 6 7 10 11 3 Web 3 Web Web QandA Wikipedia ( 8 (D)) 3 2010 1 3 6 10-8 (C) Web 4 Web 1 2009 1 Web

5. 3 3 9 9 3 2009 Web 2009 [1],, : DEWS2006 17 4 ISSN 1347-4413 1B-i7 8p., 2006 3 [2], : Google Letters, Vol.5,No.2, pp.105-108,2006 9 [3] Naoko Oyama and Yoshifumi Masunaga: On the Trustworthiness and Trensparency of a Web Search Site examined using Gender-equal as a Search Keyword, Proceedings of APWeb2008, LNCS,Springer,April 2008 [4],, : DEIM 2009 A7-6 2009 3 [5], : DEWS 2003 2-P-05, 2003 3 [6],, : Web Web DEIM 2009 B9-3, 2009 3 [7],, : DEWS 2005 6C-i8 [8],,,,, : SERP Watcher DEIM 2009 D7-5 2009 3 [9] Jon Kleinberg, Eva Tardos (,,, ) : pp.232-236 2008 [10] http://b.hatena.ne.jp/ 6. SERP Watcher Web Web Web 20 (B) 19300025