Everyone’s an Influencer: Quantifying Influence on Twitter | Yahoo! Research

Via Scoop.itTeaching Economics
“In this paper we investigate the attributes and relative influence of 1.6M Twitter users by tracking 74 million diffusion events that took place on the Twitter follower graph over a two month interval in 2009. Unsurprisingly, we find that the largest cascades tend to be generated by users who have been influential in the past and who have a large number of followers. We also find that URLs that were rated more interesting and/or elicited more positive feelings by workers on Mechanical Turk were more likely to spread. In spite of these intuitive results, however, we find that predictions of which particular user or URL will generate large cascades are relatively unreliable. We conclude, therefore, that wordof- mouth diffusion can only be harnessed reliably by targeting large numbers of potential influencers, thereby capturing average effects”
Via research.yahoo.com

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Posted on December 12, 2011, in Uncategorized. Bookmark the permalink. Leave a comment.

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