Difference between revisions of "QMS"

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(I'll text you later http://www.fdt.ie/index.php/legal-research-paper/ research paper buy Nielsen will release its first "Nielsen Twitter TV Ratings" report on Monday. The study measures TV-related co)
(Another year <a href=" http://www.fdt.ie/index.php/write-my-essay-for-me-on-a-book/ ">flame sample capital punishment persausive essay skip</a> And fans of less-popular shows have reason to pay atten)
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I'll text you later http://www.fdt.ie/index.php/legal-research-paper/ research paper buy  Nielsen will release its first "Nielsen Twitter TV Ratings" report on Monday. The study measures TV-related conversations on the social network. Nielsen found that in the second quarter of this year, 19 million people wrote 263 million tweets about live TV events, up 38 per cent from a year earlier. Separately, Nielsen found that the "Breaking Bad" finale was by far the most tweeted-about program last week.
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Another year <a href=" http://www.fdt.ie/index.php/write-my-essay-for-me-on-a-book/ ">flame sample capital punishment persausive essay skip</a>  And fans of less-popular shows have reason to pay attention too. One quirk of the numbers is that each viewer of a less-watched episode or program has more individual power to affect ratings, compared to each viewer of a popular show: because the numbers measure both Twitter activity about a show as well as the number of people who are passively seeing those tweets, and because followers are more likely to overlap when there are more people tweeting, lower activity means that each individual follower affects the results more.

Revision as of 08:36, 10 December 2014

Another year <a href=" http://www.fdt.ie/index.php/write-my-essay-for-me-on-a-book/ ">flame sample capital punishment persausive essay skip</a> And fans of less-popular shows have reason to pay attention too. One quirk of the numbers is that each viewer of a less-watched episode or program has more individual power to affect ratings, compared to each viewer of a popular show: because the numbers measure both Twitter activity about a show as well as the number of people who are passively seeing those tweets, and because followers are more likely to overlap when there are more people tweeting, lower activity means that each individual follower affects the results more.

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