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Klout
Klout is a website and mobile app that uses social media analytics to rank its users according to online social influence via the "Klout Score", which is a numerical value between 1 and 100. In determining the user score, Klout measures the size of a user's social media network and correlates the content created to measure how other users interact with that content. Klout launched in 2008.
Klout uses Bing, Facebook, Foursquare, Google+, Instagram, LinkedIn, Twitter, YouTube, and Wikipedia data to create Klout user profiles that are assigned a unique "Klout Score". Klout scores range from 1 to 100, with higher scores corresponding to a higher ranking of the breadth and strength of one's online social influence. While all Twitter users are assigned a score, users who register at Klout can link multiple social networks, of which network data is then aggregated to influence the user's Klout Score.
==Methodology==
Klout measures influence by using data points from Twitter, such as following count, follower count, retweets, list memberships, how many spam/dead accounts are following you, how influential the people who retweet you are and unique mentions. This information is blended with data from a number of other social network followings and interactions to come up with the Klout Score. The social networks that influence a user's Klout Score are Twitter, Facebook, Google+, LinkedIn (individuals pages not corporate/business), as YouTube, Instagram and Klout itself, as well as Wikipedia.〔(【引用サイトリンク】title=Klout Score )〕 Other accounts such Flickr, Blogger, Tumblr, Last.fm, WordPress, and Bing can also be linked by users, however they do not weigh into the Klout Score . Microsoft announced a strategic investment in Klout in September 2012 whereby Bing would have access to Klout influence technology, and Klout would have access to Bing search data for its scoring algorithm.
Klout scores are supplemented with three nominally more specific measures, which Klout calls "true reach," "amplification" and "network impact." True reach is based on the size of a user's engaged audience who actively engage in the user's messages. Amplification score relates to the likelihood that one's messages will generate actions, such as retweets, mentions, likes and comments. Network impact reflects the computed influence value of a person's engaged audience.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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