A Twitter Search Engine by User Rank

            www.tweefind.com
Tweefind - The Market Problem

 It’s time to re-think search
    sources: not only websites/blogs
    tons of useful news shared on Twitter,
     Friendfeed etc.
    information, images, videos shared on Facebook
     etc.
    people talk and chat about topics that can
     become trends
       need a way to assign a “rank” to social
        networks’ users
       need a way to aggregate all this information
Cagliari, July 07, 2009
               03,                                     2
Tweefind - The Market Problem

     Three Types of Search
                 Search 1.0
                    Focused on pages and content within them

                         very basic concept
                          


                 Search 2.0

                    Focused on pages, content, links, authority of linking

                     sites
                         pagerank
                          


                 Search 3.0

                    Relevance is determined by content, context and

                     relevance for your network
                         people share content
                          




Cagliari, July 07, 2009
               03,                                                            2
Tweefind – Focus: Twitter
 Twitter’s    growth is
      explosive
       19M users
       267% growth on
        quarter basis
       1250% growth
        on annual basis



Cagliari, July 07, 2009     3
Tweefind – Focus: Twitter
 Twitter       is a busy and noisy place
         lots of users
         lots of spam
         lots of casual users
         lots of personal and not relevant content

 Potential               response
                 need a way to take the good content out of the noise
                 need a way to give that content a “value” and display

                  the most valuable only

Cagliari, July 07, 2009                                                   3
Tweefind - Value Proposition

     Tweefind is a twitter search engine
            scans the popular micro-blogging service
            displays results ordered by user rank
            displays related searches coming from other sources
               Google, Bing

               Techcrunch, Mashable, NYT, Friendfeed...

               Youtube video (the most popular)

               Highest ranked twitter users

            takes links out from the tweets and shows the most
             re-tweeted (re-tweet means endorsement)

Cagliari, July 07, 2009                                            2
Tweefind – The Solution
     Tweerank
        is a measure of how popular/important a Twitter user is
        works 24/7 to assign a rank to each Twitter user
        it changes daily
        over 4M users ranked so far
        takes into account over 20 parameters, like
                   # followers
                   # following
                   # of followers / #of following
                   # of tweets
                   # of RT he/she receives
                   # of replies
                   # of distinct users who reply
                   # of distinct users who retweet
                   # of RT he/she makes
                   # of links the user shares
                   .....

Cagliari, July 07, 2009                                            4
Tweefind – Main interface 1/2

     Example: search for “iphone”   Most searched keywords



                                      Highest-ranked Twitter users
                                      for the keyword “iphone” (from
                                      Tweepfind.com)




Main results from Twitter            Most re-tweeted news for
ordered by “user rank”               “iphone”




                                     Results from Friendfeed, New
                                     York Times, Techcrunch,
                                     Mashable, etc.




Cagliari, July 07, 2009                                         5
Tweefind – Main interface 2/2

      Example: search for “iphone”
   Buttons to switch to Google/Bing
   results



Similar and relevant
search terms




Results coming from
the search engine Bing




 Cagliari, July 07, 2009              5
Tweefind – Relevant Link Extraction

 Example: search for
  “iphone”
 Tweefind extracts links
  contained in the tweets
  displayed in the first page
            Searches Tweetmeme for
             those links
            Displays the three most-
             retweeted on the sidebar


Cagliari, July 07, 2009                 5
Tweefind – Plugins and Widgets
     Blog/Website widget




     Firefox/IE search plugin



Cagliari, July 07, 2009          4
Tweefind – Benefits
     Filters the good content coming from highest
      ranked users
     Remove noise and useless tweets from search
      results
     Lots of relevant and related search results coming
      from different sources, all together
     Very useful to find new great and valuable Twitter
      users to follow
     One-Stop-Shop for search from multiple different
      sources


Cagliari, July 07, 2009                                    4
Tweefind – Contacts


                             http://www.tweefind.com

                             http://twitter.com/tweefind

                             info@tweefind.com




Cagliari, July 07, 2009                                     4

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Tweefind, A Rank-Based Twitter Search Engine

  • 1. A Twitter Search Engine by User Rank www.tweefind.com
  • 2. Tweefind - The Market Problem  It’s time to re-think search  sources: not only websites/blogs  tons of useful news shared on Twitter, Friendfeed etc.  information, images, videos shared on Facebook etc.  people talk and chat about topics that can become trends  need a way to assign a “rank” to social networks’ users  need a way to aggregate all this information Cagliari, July 07, 2009 03, 2
  • 3. Tweefind - The Market Problem  Three Types of Search  Search 1.0  Focused on pages and content within them very basic concept   Search 2.0  Focused on pages, content, links, authority of linking sites pagerank   Search 3.0  Relevance is determined by content, context and relevance for your network people share content  Cagliari, July 07, 2009 03, 2
  • 4. Tweefind – Focus: Twitter  Twitter’s growth is explosive  19M users  267% growth on quarter basis  1250% growth on annual basis Cagliari, July 07, 2009 3
  • 5. Tweefind – Focus: Twitter  Twitter is a busy and noisy place  lots of users  lots of spam  lots of casual users  lots of personal and not relevant content  Potential response  need a way to take the good content out of the noise  need a way to give that content a “value” and display the most valuable only Cagliari, July 07, 2009 3
  • 6. Tweefind - Value Proposition  Tweefind is a twitter search engine  scans the popular micro-blogging service  displays results ordered by user rank  displays related searches coming from other sources  Google, Bing  Techcrunch, Mashable, NYT, Friendfeed...  Youtube video (the most popular)  Highest ranked twitter users  takes links out from the tweets and shows the most re-tweeted (re-tweet means endorsement) Cagliari, July 07, 2009 2
  • 7. Tweefind – The Solution  Tweerank  is a measure of how popular/important a Twitter user is  works 24/7 to assign a rank to each Twitter user  it changes daily  over 4M users ranked so far  takes into account over 20 parameters, like  # followers  # following  # of followers / #of following  # of tweets  # of RT he/she receives  # of replies  # of distinct users who reply  # of distinct users who retweet  # of RT he/she makes  # of links the user shares  ..... Cagliari, July 07, 2009 4
  • 8. Tweefind – Main interface 1/2  Example: search for “iphone” Most searched keywords Highest-ranked Twitter users for the keyword “iphone” (from Tweepfind.com) Main results from Twitter Most re-tweeted news for ordered by “user rank” “iphone” Results from Friendfeed, New York Times, Techcrunch, Mashable, etc. Cagliari, July 07, 2009 5
  • 9. Tweefind – Main interface 2/2  Example: search for “iphone” Buttons to switch to Google/Bing results Similar and relevant search terms Results coming from the search engine Bing Cagliari, July 07, 2009 5
  • 10. Tweefind – Relevant Link Extraction  Example: search for “iphone”  Tweefind extracts links contained in the tweets displayed in the first page  Searches Tweetmeme for those links  Displays the three most- retweeted on the sidebar Cagliari, July 07, 2009 5
  • 11. Tweefind – Plugins and Widgets  Blog/Website widget  Firefox/IE search plugin Cagliari, July 07, 2009 4
  • 12. Tweefind – Benefits  Filters the good content coming from highest ranked users  Remove noise and useless tweets from search results  Lots of relevant and related search results coming from different sources, all together  Very useful to find new great and valuable Twitter users to follow  One-Stop-Shop for search from multiple different sources Cagliari, July 07, 2009 4
  • 13. Tweefind – Contacts  http://www.tweefind.com  http://twitter.com/tweefind  [email protected] Cagliari, July 07, 2009 4