The mean value of t densities over all sources is 64 Fig ure 7 shows the

The mean value of t densities over all sources is 64

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The mean value of t-densities over all sources is 6.4. Fig- ure 7 shows the temporal variations of tweets and links over all sources. Notice that while both tweets and links have a weekly cycle due to natural variations in web activity, the t-density score is robust to periodic weekly variations. The non-periodic nature of t-density indicates that the reason we see less tweets during down time is mainly due to the fact that less links are posted. Are top traditional news sources the most propagated? As we assign scores to sources in our dataset, we are inter- ested to know whether sources successful in this dataset are those that are conventionally considered prominent. (a) tweets and links (b) t-density Figure 7: Temporal variations of tweets, links, and t-density over all sources Google News 9 is one of the major aggregators and providers of news on the web. While inclusion in Google news results is free, Google uses its own criteria to rank the content and place some articles on its homepage, giv- ing them more exposure. Freshness, diversity, and rich tex- tual content are listed as the factors used by Google News to automatically rank each article as it is published. Because Google does not provide overall rankings for news sources, to get a rating of sources we use NewsKnife 10 . NewsKnife is a service that rates top news sites and journalists based on analysis of article’s positions on the Google news home- page and sub-pages internationally. We would like to know whether the sources that are featured more often on Google news (and thus deemed more prominent by Google and rated more highy by NewsKnife) are also those that become most popular on our dataset. Total Links Total Tweets t-density Correlation 0.57 0.35 -0.05 Table 1: Correlation values between NewsKnife source scores and their performance on twitter dataset. Accordingly we measure the correlation values for the 90 top NewsKnife sources that are also present in our dataset. The values are shown in Table 1. It can be observed that the ratings correlate positively with the number of links pub- lished by a source (and thus the sum of their tweets), but have no correlation (-0.05) with t-density which reflects the 9 10 30
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number of tweets that each of their links receives. For our source scoring scheme this correlation was about 0.7. Table 2 shows a list of top sources according to NewsKnife, as well as those most popular sources in our dataset. While NewsKnife rates more traditionally promi- nent news agencies such as Reuters and the Wall Street Jour- nal higher, in our dataset the top ten sources (with high- est t-densities) include sites such as Mashable, AllFacebook (the unofficial facebook blog), the Google blog, marketing blogs, as well as weblogs of well-known people such as Seth Godin’s weblog and Mark Cuban’s blog (BlogMaver- ick). It is also worth noting that there is a bias toward news and opinion on web marketing, indicating that these sites ac- tively use their own techniques to increase their visibility on Twitter.
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