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An Effective Rumor Control Approach for Online Social Networks

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Information Systems Design and Intelligent Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 862))

Abstract

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.

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Author information

Authors and Affiliations

  1. School of Information Technology and Engineering, Vellore Institute of Technology University, Vellore, India

    S. Santhoshkumar & L. D. Dhinesh Babu

Authors
  1. S. Santhoshkumar
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  2. L. D. Dhinesh Babu
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Corresponding author

Correspondence to S. Santhoshkumar .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Universite des Mascareignes, Beau Bassin-Rose Hill, Mauritius

    Radhakhrishna Somanah

  4. School of Science and Technology, Middlesex University, London, UK

    Xin-She Yang

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Roman Senkerik

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Santhoshkumar, S., Dhinesh Babu, L.D. (2019). An Effective Rumor Control Approach for Online Social Networks. In: Satapathy, S., Bhateja, V., Somanah, R., Yang, XS., Senkerik, R. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 862. Springer, Singapore. https://doi.org/10.1007/978-981-13-3329-3_7

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