Information propagation based on historical memory

Fuzhong Nian, Anhui Cong () and Rendong Liu ()
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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

International Journal of Modern Physics C (IJMPC), 2019, vol. 30, issue 12, 1-19

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.

Keywords: Complex network; unsupervised learning; K-shell decomposition; propagation tree; information propagation (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0129183120500059

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