Tweefind, A Rank-Based Twitter Search Engine

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

Tweefind, A Rank-Based Twitter Search Engine

by Luca Filigheddu

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