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Hybrid Control Strategy for Rumor Spread in Social Networks

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Computer Networks and IoT (IAIC 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2060))

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Abstract

To address the rampant spread of rumors in society, this study investigates control strategies for rumor propagation on social networks and proposes a hybrid control strategy rumor propagation model (IS2TRB) incorporating protective and blocking measures. Additionally, an optimal control model is developed to maximize the control of rumor propagation while minimizing control costs. Theoretical analyses regarding the existence and uniqueness of optimal control are provided. Numerical simulations validate that implementing optimal control incurs lower costs compared to hybrid control strategies, single protective strategies, and single blocking strategies. This approach effectively reduces the scale of rumor propagation, offering a robust strategy reference for combating the issue of rumor dissemination.

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References

  1. He, Z., Cai, Z., Yu, J., Wang, X., Sun, Y., Li, Y.: Cost-efficient strategies for restraining rumor spreading in mobile social networks. IEEE Trans. Veh. Technol. 66(3), 2789–2800 (2017)

    Article  Google Scholar 

  2. Yang, L.-X., Li, P., Yang, X., Wu, Y., Tang, Y.Y.: On the competition of two conflicting messages. Nonlin. Dyn. 91(3), 1853–1869 (2018)

    Article  Google Scholar 

  3. Nash, R., Bouchard, M., Malm, A.: Investing in people: the role of social networks in the diffusion of a large-scale fraud. Soc. Netw. 35(4), 686–698 (2013)

    Article  Google Scholar 

  4. Zhang, Y., Xu, J.: A dynamic competition and predation model for rumor and rumor-refutation. IEEE Access 9, 9117–9129 (2021). https://doi.org/10.1109/ACCESS.2020.3047934

    Article  Google Scholar 

  5. Chen, H., et al.: The research on propagation modeling and governance strategies of online rumors based on behavior–attitude. Internet Res. 32(2), 620–639 (2022). https://doi.org/10.1108/INTR-08-2020-0480

    Article  Google Scholar 

  6. Wen, S., Jiang, J., Xiang, Y., Yu, S., Zhou, W., Jia, W.: Toshut them up or to clarify: restraining the spread of rumors in online social networks. IEEE Trans. Parallel Distrib. Syst. 25(12), 3306–3316 (2014)

    Article  Google Scholar 

  7. Sharma, K., Qian, F., Jiang, H., Ruchansky, N., Zhang, M., Liu, Y.: Combating fake news. ACM Trans. Intell. Syst. Technol. 10(3), 1–42 (2019)

    Article  Google Scholar 

  8. Nguyen, N.P., Yan, G., Thai, M.T., Eidenbenz, S.: Containment of misinformation spread in online social networks. In: Proceedings of the 4th Annual ACM Web Science Conference on—WebSci 2012, pp. 213–222, Evanston, IL, USA, June (2012)

    Google Scholar 

  9. Tong, G.A., Wu, W., Guo, L., et al.: An efficient randomized algorithm for rumor blocking in online social networks. IEEE Trans. Netw. Sci. Eng. 14 (2017)

    Google Scholar 

  10. Wang, B., Chen, G., Fu, L., Song, L., Wang, X.: DRIMUX: dynamic rumor influence minimization with user experience in social networks. IEEE Trans. Knowl. Data Eng. 29(10), 2168–2181 (2017)

    Article  Google Scholar 

  11. Ding, L., Hu, P., Guan, Z.H., Li, T.: An efficient hybrid control strategy for restraining rumor spreading. IEEE Trans. Syst. Man Cybern. Syst. 51(11), 6779–6791 (2020)

    Article  Google Scholar 

  12. Huo, L., Lin, T., Fan, C., Liu, C., Zhao, J.: Optimal control of a rumor propagation model with latent period in emergency event. Adv. Diff. Eq. 54 (2015)

    Google Scholar 

  13. Wang, X., Wang, X., Hao, F., Min, G., Wang, L.: Efficient coupling diffusion of positive and negative information in online social networks. IEEE Trans. Netw. Serv. Manage. 16(13), 1226–1239 (2019)

    Article  Google Scholar 

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Correspondence to Haiyan Zi .

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Zi, H., Wu, S., Wu, K. (2024). Hybrid Control Strategy for Rumor Spread in Social Networks. In: Jin, H., Pan, Y., Lu, J. (eds) Computer Networks and IoT. IAIC 2023. Communications in Computer and Information Science, vol 2060. Springer, Singapore. https://doi.org/10.1007/978-981-97-1332-5_16

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  • DOI: https://doi.org/10.1007/978-981-97-1332-5_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-1331-8

  • Online ISBN: 978-981-97-1332-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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