Information Spreading on Two-Layered Multiplex Networks With Limited Contact

• Published in: IEEE access Vol. 8; pp. 104316 - 104325
• Main Authors: Yu, Xiuli, Yang, Qiwen, Ai, Kailiang, Zhu, Xuzhen, Wang, Wei
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: compartmental theory; Complex networks; Information processing; Information spreading; limited contact; Mathematical models; Multiplexing; Networks; Numerical models; Numerical simulation; Outbreaks; Social networking (online); Telecommunications; threshold model
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.2999495

Information spreading on multiplex complex networks has been widely concerned. In reality, the constraints of inelastic resources, such as energy, time, money, and an individual's restrict contact capacities, can affect the information spreading process. In this paper, we propose an information spreading model with limited contact capacity on the two-layered multiplex network. In order to quantitatively study the information spreading, we adopt an edge-based compartmental theory. We find that increasing the contact capacity facilitates information spreading. If the multiplex networks with strong heterogeneous degree distributions, the information outbreak size grows continuously with the transmission probability. However, when the information spreads on multiplex networks with homogeneous or heterogeneous degree distributions, there exists a crossover phenomenon, in which the information outbreak size versus the transmission probability can grow continuously or discontinuously. Our theory agrees well with the numerical simulations.