Information Propagation on Twitter
نویسندگان
چکیده
We analyze URL and tag propagation on Twitter social network with 54 million nodes and 1.5 billion edges, one of the largest social networks studied in academia. We specifically focus on the interplay of external and network influences. We attribute propagation to the network whenever a user mentions a tag or URL after one of its neighbors has previously mentioned it, and to external influence otherwise. We develop a new metric to measure external influence and an efficient algorithm to calculate it. The insight we obtain from the external influence metric paired with the analysis of cascade dynamics of the network influence, not only validates some of the previously observed phenomena in other social networks but also provides new insight into the interplay of network and external influences over the lifetime of memes in the network.
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