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Information diffusion in signed networks

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  • Xiaochen He
  • Haifeng Du
  • Marcus W Feldman
  • Guangyu Li

Abstract

Information diffusion has been widely discussed in various disciplines including sociology, economics, physics or computer science. In this paper, we generalize the linear threshold model in signed networks consisting of both positive and negative links. We analyze the dynamics of the spread of information based on balance theory, and find that a signed network can generate path dependence while structural balance can help remove the path dependence when seeded with balanced initialized active nodes. Simulation shows that the diffusion of information based on positive links contradicts that based on negative links. More positive links in signed networks are more likely to activate nodes and remove path dependence, but they can reduce predictability that is based on active states. We also find that a balanced structure can facilitate both the magnitude and speed of information diffusion, remove the path dependence, and cause polarization.

Suggested Citation

  • Xiaochen He & Haifeng Du & Marcus W Feldman & Guangyu Li, 2019. "Information diffusion in signed networks," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-21, October.
    • Handle: RePEc:plo:pone00:0224177
    DOI: 10.1371/journal.pone.0224177
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    References listed on IDEAS

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    1. Du, Haifeng & He, Xiaochen & Wang, Jingjing & Feldman, Marcus W., 2018. "Reversing structural balance in signed networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 780-792.
    2. Francisco C Santos & Jorge M Pacheco & Tom Lenaerts, 2006. "Cooperation Prevails When Individuals Adjust Their Social Ties," PLOS Computational Biology, Public Library of Science, vol. 2(10), pages 1-8, October.
    3. Duncan J. Watts & Steven H. Strogatz, 1998. "Collective dynamics of ‘small-world’ networks," Nature, Nature, vol. 393(6684), pages 440-442, June.
    4. Joe A. Dodson, Jr. & Eitan Muller, 1978. "Models of New Product Diffusion Through Advertising and Word-of-Mouth," Management Science, INFORMS, vol. 24(15), pages 1568-1578, November.
    5. Xiaochen He & Haifeng Du & Meng Cai & Marcus W Feldman, 2018. "The evolution of cooperation in signed networks under the impact of structural balance," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-18, October.
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    Cited by:

    1. Ke, Xingfu & Wen, Youjin & Yu, Hao & Meng, Fanyuan, 2024. "A simple model of global cascades in signed networks," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
    2. Mohammadi, Sohameh & Nadimi-Shahraki, Mohammad H. & Beheshti, Zahra & Zamanifar, Kamran, 2024. "Improved information diffusion models based on a new two-sided sign-aware matching framework in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).

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