Multilayer social reinforcement induces bistability on multiplex networks

@article{Liu2021MultilayerSR,
  title={Multilayer social reinforcement induces bistability on multiplex networks},
  author={Longzhao Liu and Xin Wang and Shaoting Tang and Hongwei Zheng and Zhiming Zheng},
  journal={Journal of Statistical Mechanics: Theory and Experiment},
  year={2021},
  volume={2021}
}
The social reinforcement mechanism, which characterizes the promoting effects when exposed to multiple sources in the social contagion process, is ubiquitous in information technology ecosystems and has aroused great attention in recent years. While the impacts of social reinforcement on single-layer networks are well documented, extension to multilayer networks is needed to study how reinforcement from different social circles influences the spreading dynamics. To this end, we incorporate… 

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References

SHOWING 1-10 OF 54 REFERENCES

Simplicial models of social contagion

Higher-order social interactions, the effects of groups, are included in their model of social contagion, enabling insight into why critical masses are required to initiate social changes and contributing to the understanding of higher-order interactions in complex systems.

Complex contagions with social reinforcement from different layers and neighbors

Social contagions with communication channels alternation on multiplex networks

A non-Markovian behavior spreading model in multiplex networks that takes into account the CCA mechanism is proposed, and a generalized edge-based compartmental method is developed to describe the spreading dynamics.

Spreading in online social networks: the role of social reinforcement.

A unknown-known-approved-exhausted four-status model is proposed, which emphasizes the effect of social reinforcement and assumes that the redundant signals can improve the probability of approval (i.e., the spreading rate), and can well explain the results of Centola's experiments on behavior spreading and some former studies on information spreading in different parameter space.

A simple model of global cascades on random networks

  • D. Watts
  • Computer Science
    Proceedings of the National Academy of Sciences of the United States of America
  • 2002
It is shown that heterogeneity plays an ambiguous role in determining a system's stability: increasingly heterogeneous thresholds make the system more vulnerable to global cascades; but anincreasingly heterogeneous degree distribution makes it less vulnerable.

Phase transitions and hysteresis of cooperative contagion processes

The presented work proposes a model in which individuals that are infected with one disease are more likely to acquire the second disease, both diseases following the susceptible-infected-susceptible reaction scheme and shows that cooperative interactions between diseases change the general wave propagation properties of conventional spreading phenomena of single diseases.

Promoting information diffusion through interlayer recovery processes in multiplex networks.

It is found that the information diffusion can be effectively promoted for a range of interlayer recovery rates and the promoting effect on a certain layer can be strengthened if information spreads more extensively within the counterpart layer.

Spreading of two interacting diseases in multiplex networks.

The simulation results show that the network overlap has almost no effect on both epidemic threshold and prevalence, and it is found that the epidemic threshold of one disease does not depend on all system parameters.

Contact-based Social Contagion in Multiplex Networks

A contact-based information spreading model is proposed, and it is shown that the critical point of the multiplex system associated with the active phase is determined by the layer whose contact probability matrix has the largest eigenvalue.
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