Mathematics and the identification of ‘superspreaders’ Tuesday, March 13, 2018 - 14:39

In the world of social networks, “superspreaders” are users whose retweets can make information travel faster than everyone else. Prof James Gleeson from the Mathematics Applications Consortium for Science and Industry (MACSI) explains how his latest SFI funded project is using mathematics to help identify these superspreaders. He outlines how a better understanding of how information spreads through social influence will help us find ways to spread important information more quickly (e.g., for health or terrorism alerts), and to control undesirable aspects of social media such as the spreading of misinformation and false rumours. Recorded by GK Media Ltd.

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