An Effective Rumor Control Approach for Online Social Networks

  • S. SanthoshkumarEmail author
  • L. D. Dhinesh Babu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 862)


Since the rumor spreading has a negative impact on the stability of Online Social Networks (OSNs), rumor diffusion study is becoming an important research area in recent days. The main causes for rumor spreading are lack of education and lack of official information. Promotion of education and official information through social media applications against the disease is called as “Social Vaccine”. In this paper, a novel social vaccine approach called Pulse Vaccination for Rumor Control (PVRC) is proposed to combat the rumor spreading. A novel algorithm is proposed to find the portion of the population to provide PVRC in regular intervals. A Spreader(S)-Educated Spreader(U)-Ignorant(I)-Educated Ignorant(V)-Recovered(R), USVIR, rumor dynamics model is proposed to study the vaccination approach. This model illustrates the impact of the vaccination on rumor propagation with respect to time in OSNs. We evaluated the proposed approach on four different datasets. Experimental results show that periodic education to the selected population will eradicate the rumor from the network and devise a rumor-free equilibrium.


Rumor control Online social networks Social vaccination Education Pulse vaccination USVIR epidemic model 


  1. 1.
    F. Baum, R. Narayan, D. Sanders, V. Patel, A. Quizhpe, Social vaccines to resist and change unhealthy social and economic structures: a useful metaphor for health promotion. Health Promot. Int. 24(4), 428–433 (2009)CrossRefGoogle Scholar
  2. 2.
    D.J. Daley, D.G. Kendall, Epidemics and rumors. Nature 204(4963), 1118 (1964)CrossRefGoogle Scholar
  3. 3.
    D.P. Maki, M. Thompson, Mathematical models and applications: with emphasis on the social life, and management sciences (1973)Google Scholar
  4. 4.
    V. Giorno, S. Spina, Rumor spreading models with random denials. Phys. A 461, 569–576 (2016)MathSciNetCrossRefGoogle Scholar
  5. 5.
    D. Li, J. Ma, Z. Tian, H. Zhu, An evolutionary game for the diffusion of rumor in complex networks. Phys. A 433, 51–58 (2015)MathSciNetCrossRefGoogle Scholar
  6. 6.
    L. Huo, L. Wang, N. Song, C. Ma, B. He, Rumor spreading model considering the activity of spreaders in the homogeneous network. Phys. A 468, 855–865 (2017)MathSciNetCrossRefGoogle Scholar
  7. 7.
    S. Han, F. Zhuang, Q. He, Z. Shi, X. Ao, Energy model for rumor propagation on social networks. Phys. A 394, 99–109 (2014)CrossRefGoogle Scholar
  8. 8.
    J. Ma, D. Li, Z. Tian, Rumor spreading in online social networks by considering the bipolar social reinforcement. Phys. A 447, 108–115 (2016)MathSciNetCrossRefGoogle Scholar
  9. 9.
    M.Z. Dauhoo, D. Juggurnath, N.-R.B. Adam, The stochastic evolution of rumors within a population. Math. Soc. Sci. 82, 85–96 (2016)MathSciNetCrossRefGoogle Scholar
  10. 10.
    J. Wang, L. Zhao, R. Huang, SIRaRu rumor spreading model in complex networks. Phys. A 398, 43–55 (2014)MathSciNetCrossRefGoogle Scholar
  11. 11.
    L. Zhao, H. Cui, X. Qiu, X. Wang, J. Wang, SIR rumor spreading model in the new media age. Phys. A 392(4), 995–1003 (2013)MathSciNetCrossRefGoogle Scholar
  12. 12.
    K. Afassinou, Analysis of the impact of education rate on the rumor spreading mechanism. Phys. A 414, 43–52 (2014)MathSciNetCrossRefGoogle Scholar
  13. 13.
    L. Huo, C. Ma, Dynamical analysis of rumor spreading model with impulse vaccination and time delay. Phys. A 471, 653–665 (2017)MathSciNetCrossRefGoogle Scholar
  14. 14.
    L. Stone, B. Shulgin, Z. Agur, Theoretical examination of the pulse vaccination policy in the SIR epidemic model. Math. Comput. Model. 31(4–5), 207–215 (2000)MathSciNetCrossRefGoogle Scholar
  15. 15.
    N. Developers, “NetworkX,” networkx. lanl. gov, 2010Google Scholar
  16. 16.
    H.-B. Hu, X.-F. Wang, Unified index to quantifying heterogeneity of complex networks. Phys. A 387(14), 3769–3780 (2008)CrossRefGoogle Scholar
  17. 17.
    C. Castellano, R. Pastor-Satorras, Thresholds for epidemic spreading in networks. Phys. Rev. Lett. 105(21), 218701 (2010)CrossRefGoogle Scholar
  18. 18.
    R.M. Tripathy, A. Bagchi, S. Mehta, A study of rumor control strategies on social networks, in Proceedings of the 19th ACM international conference on Information and knowledge management, pp. 1817–1820 (2010)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Information Technology and EngineeringVellore Institute of Technology UniversityVelloreIndia

Personalised recommendations