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Viral spreading of daily information in online social networks

Author

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  • Kawamoto, Tatsuro
  • Hatano, Naomichi

Abstract

We explain a possible mechanism of an information spreading on a network which spreads extremely far from a seed node, namely the viral spreading. On the basis of a model of the information spreading in an online social network, in which the dynamics is expressed as a random multiplicative process of the spreading rates, we will show that the correlation between the spreading rates enhances the chance of the viral spreading, shifting the tipping point at which the spreading goes viral.

Suggested Citation

  • Kawamoto, Tatsuro & Hatano, Naomichi, 2014. "Viral spreading of daily information in online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 34-41.
    • Handle: RePEc:eee:phsmap:v:406:y:2014:i:c:p:34-41
    DOI: 10.1016/j.physa.2014.03.054
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    Cited by:

    1. Yufang Fu & Bin Cao & Wei Zhang & Zongwei Luo, 2022. "Information Spreading Considering Repeated Judgment with Non-Recursion," Mathematics, MDPI, vol. 10(24), pages 1-16, December.

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