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Information Diffusion in Social Networks - School of Technology and ...

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Large clusters <strong>in</strong> viral topics10 410 310 210 110 010 5 0 10 20 30 40 50 60 70 80 0 0.10.70.6Users countPopularityGiant component0.60.50.40.30.2Fraction <strong>of</strong> node <strong>in</strong> Giant componentUsers count10 410 310 210 110 5 0 10 20 30 40 50 60 70 80 0 0.1PopularityGiant component0.50.40.30.2Fraction <strong>of</strong> node <strong>in</strong> Giant componentDayDayIn viral topics the largest component takes up asignificant fraction <strong>of</strong> the graph, grow<strong>in</strong>g <strong>in</strong> sizeas the topic rises <strong>in</strong> popularity.

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