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Viral information propagation in the Digg online social network

Author

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  • Freeman, Mark
  • McVittie, James
  • Sivak, Iryna
  • Wu, Jianhong

Abstract

We propose the use of a variant of the epidemiological SIR model to accurately describe the diffusion of online content over the online social network Digg.com. We examine the qualitative properties of our viral information propagation model, demonstrate the model’s applications to social media spread in online social networks with particular focus on accurately predicting user voting behavior over a period of 50 h. The model allows us to characterize the peak time, turning point, viral period and final size (total number of votes), and gives much improved prediction of user voting behaviors than other established models.

Suggested Citation

  • Freeman, Mark & McVittie, James & Sivak, Iryna & Wu, Jianhong, 2014. "Viral information propagation in the Digg online social network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 87-94.
    • Handle: RePEc:eee:phsmap:v:415:y:2014:i:c:p:87-94
    DOI: 10.1016/j.physa.2014.06.011
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    Citations

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    Cited by:

    1. Zhao, Danling & Sun, Jianbin & Tan, Yuejin & Wu, Jianhong & Dou, Yajie, 2018. "An extended SEIR model considering homepage effect for the information propagation of online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1019-1031.
    2. Yi, Chengqi & Bao, Yuanyuan & Xue, Yibo, 2016. "Mining the key predictors for event outbreaks in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 247-260.
    3. Wang, Dan & Cheng, Shun-Jun, 2016. "A two-stage broadcast message propagation model in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 1286-1293.
    4. Sun, Xin & Dong, Junyu & Tang, Ruichun & Xu, Mantao & Qi, Lin & Cai, Yang, 2015. "Topological evolution of virtual social networks by modeling social activities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 259-267.
    5. Ping Jiang & Xiangbin Yan, 2019. "A quantitative model for the spread of online information," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 1981-2001, July.

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