Abstract
This research aims to find out why rumors spread so fast on Twitter. So based on the concept of social networks and Katz Centrality, I decide to use Crawlers to collect data from Twit-ter and generate Real News Spreading Network, Rumors Spreading Network as well as graphs that illustrate their variation with post time delay. And I find that although the original size of rumors may not be as large as the original size of real news, more and more people spread rumors as time goes by, while the amount of people who read real news only grows a little. Whats more, it is users who are not very important(judging from their Katz Centrality values rank in certain news spreading networks) in the social network that play key roles in spreading the news(both rumors and real news). So I deduce that it might be ordinary users (they are not Internet celebrities, and dont have many followers) who should be aware of being informed of many rumors because they might be the key factors to spreading or stopping rumors.
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