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SLA Nov2009 Public
- 1. Information Visualization Course Information Visualization Anselm Spoerri PhD MIT Rutgers University [email_address]
- 5. "Spatial" Data Displays IBM Data Explore r http://www.research.ibm.com/dx/
- 17. Abstract Hierarchical Information – Overview Treemap Traditional ConeTree SunTree Botanical Hyperbolic Tree
- 18. Hierarchical Data – Treemap Space-Filling Design
- 19. Visualizing Hierarchical Data – Treemap
- 20. Treemap Smart Money Map of the Market
- 21. Treemap Newsmap
- 25. Goal – Compare Search Results Can be Generalized to N Sets Transform Explode
- 26. InfoCrystal
- 27. InfoCrystal
- 28. InfoCrystal A and (not (B or C)) A and C and (not B) A and B and C B and C and (not A) A and B and (not C) C and (not (A or B)) (not (A or B or C)) B and (not (A or C))
- 31. MetaCrystal – Query Formulation
- 35. Category View
- 38. RankSpiral
- 40. Search Result Position of Popular Wikipedia Pages 87% of Popular Wikipedia pages about Sex Top 3 Google Result Positions Gain Insights into how specifically search engines fuel growing popularity of Wikipedia
- 45. Search Visualization - Clustering
- 46. Search Result Visualization 2.5D Maps Grokker Kartoo ThemeScape / Aureka
- 47. Search Result Visualization 3D Themescapes
- 50. Data Visualization – Baby Names Voyager http://www.babynamewizard.com/voyager
- 51. Data Visualization – Gapminder – Google Motion Charts http://www.gapminder.org/
- 54. Visualizing Library Data – ManyEyes
- 55. Visualizing Library Data – Tableau Visualization
Editor's Notes
- The titles of the 230 most popular Wikipedia pages are submitted as queries to the major search engines, where Google is used by more than 47.5 percent of people to search the Web, followed by Yahoo with 28.1 percent and MSN with 10.6 percent (comScore, 2007b). The queries were formulated so that special characters, such as colons or brackets, and words, such as "list of", were excluded from the queries, since people are not likely to include them in their search requests. The queries were submitted on 18 February 2007 and the positions of the Wikipedia pages that “originated” the queries were determined in the top 10 search results for each engine and query, respectively. Investigate where precisely a popular Wikipedia page is placed in the search results if you formulate a query that is identical to the title of the Wikipedia page. This will help to understand how specifically search engines drive traffic to Wikipedia.
- Search result placement of websites can have profound effects on their success and profitability A consequence of placing Wikipedia pages in the top search results is that other websites are pushed further down in the result lists, and thus the probability that these sites are seen is decreased.
- This triangular area, referred to as the “ Golden Triangle ” , was looked at by 100 percent of the participants in their study. The fact that Google, the dominant search engine, places popular Wikipedia results toward the very top of its result lists, which users pay most attention to and tend to click on, can help explain the popular and persistent content categories of the most visited Wikipedia pages. Besides paying users to click on a link, search result placement is the most powerful way at disposal of a search engine to promote specific web pages.