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

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Viral regime characteristics1000010000Maximum Spread1000Maximum Peak height10001001 10 100 1000Rank1001 10 100RankPower law-like distributions are seen for macroproperties like peak volume, spread <strong>and</strong>lifetime.
Live longer, go further800070006000Maximum Spread5000400030002000100000 100 200 300 400 500 600 700 800LifetimeLonger lived topics spread further. (Or is it theother way around?)
Page 1 and 2: Information Diffusion inSocial Netw
Page 3 and 4: Research aspects of OSNs• Sociolo
Page 5 and 6: Two aspects: Macro and MicroMicro:
Page 7 and 8: SIR: The Macro questionClearly, as
Page 9 and 10: The way of EngineeringUse the obser
Page 11 and 12: Refining the questionThe Attributio
Page 13 and 14: The Model I• Users form a network
Page 15 and 16: The Model III• Each global tweet
Page 17 and 18: A reality check• The total weight
Page 19: Evolution in the viral regime800070
Page 23 and 24: Topological study: Viral topicsMax
Page 25 and 26: Empirical cross-verification: Setup
Page 27 and 28: Large clusters in viral topics10 41
Page 29 and 30: The real data also has geography10
Page 31 and 32: The emerging science of big data•
Page 33 and 34: The research horizon..• …is unl

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