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Information propagation based on historical memory

Author

Listed:
  • Fuzhong Nian

    (School of Computer & Communication, Lanzhou University of Technology, Gansu Province, Lanzhou, Gansu 730050, P. R. China)

  • Anhui Cong

    (School of Computer & Communication, Lanzhou University of Technology, Gansu Province, Lanzhou, Gansu 730050, P. R. China)

  • Rendong Liu

    (School of Computer & Communication, Lanzhou University of Technology, Gansu Province, Lanzhou, Gansu 730050, P. R. China)

Abstract

This paper aims at the phenomenon of information selective propagation based on historical memory. A network model with memory strength and edge strength is established. The information propagation model with memory-clustering ability is designed with SIR model. And unsupervised learning is introduced to modify the performance. Based on the new network model, the core network and critical path that play a key role in the information propagation are found through the K-shell decomposition method. The research shows that the memory network contains an inertial channel for information propagation, it makes information propagation smooth. And information is selectively propagated in the new network, information is more inclined to propagate between nodes with powerful memory strength and close connections, in other words, people are more willing to propagate information to old friends who have been in contact for a long time instead of new friends.

Suggested Citation

  • Fuzhong Nian & Anhui Cong & Rendong Liu, 2019. "Information propagation based on historical memory," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 30(12), pages 1-19, December.
    • Handle: RePEc:wsi:ijmpcx:v:30:y:2019:i:12:n:s0129183120500059
    DOI: 10.1142/S0129183120500059
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    Cited by:

    1. Sun, Chengbin & Luo, Chao & Li, Junqiu, 2020. "Aspiration-based co-evolution of cooperation with resource allocation on interdependent networks," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).

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