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Damage spreading and opinion dynamics on scale-free networks

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  • Fortunato, Santo

Abstract

We study damage spreading among the opinions of a system of agents, subjected to the dynamics of the Krause–Hegselmann consensus model. The damage consists in a sharp change of the opinion of one or more agents in the initial random opinion configuration, supposedly due to some external factors and/or events. This may help to understand for instance under which conditions special shocking events or targeted propaganda are able to influence the results of elections. For agents lying on the nodes of a Barabási–Albert network, there is a damage spreading transition at a low value εd of the confidence bound parameter. Interestingly, we find as well that there is some critical value εs above which the initial perturbation manages to propagate to all other agents.

Suggested Citation

  • Fortunato, Santo, 2005. "Damage spreading and opinion dynamics on scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 348(C), pages 683-690.
    • Handle: RePEc:eee:phsmap:v:348:y:2005:i:c:p:683-690
    DOI: 10.1016/j.physa.2004.09.007
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    Cited by:

    1. Sznajd-Weron, Katarzyna & Sznajd, Józef & Weron, Tomasz, 2021. "A review on the Sznajd model — 20 years after," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    2. Tian, Ru-Ya & Wu, Lei & Liang, Xiao-He & Zhang, Xue-Fu, 2018. "Opinion data mining based on DNA method and ORA software," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1471-1480.
    3. Hernández, Alexis R. & Gracia-Lázaro, Carlos & Brigatti, Edgardo & Moreno, Yamir, 2018. "Robustness of cultural communities in an open-ended Axelrod’s model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 492-500.
    4. Zhao, Jiuhua & Liu, Qipeng & Wang, Lin & Wang, Xiaofan, 2018. "Prediction of competitive diffusion on complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 12-21.
    5. Gong, Hao & Guo, Chunxiang & Liu, Yu, 2021. "Measuring network rationality and simulating information diffusion based on network structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 564(C).
    6. Zhong, Li-Xin & Xu, Wen-Juan & Chen, Rong-Da & Zhong, Chen-Yang & Qiu, Tian & Shi, Yong-Dong & Wang, Li-Liang, 2016. "A generalized voter model with time-decaying memory on a multilayer network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 95-105.

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