Information Propagation Model on Multilayer Scale-Free Networks
Journal Title: International Journal of Computer Science and Engineering - Year 2017, Vol 6, Issue 3
Abstract
People usually use multiple social networks simultaneously, and can share the information they learned from one social network to another. In this paper, we study the information spreading on multilayer networks and propose a model that the acceptance of information is not only determined by the information itself (fundamental transmissibility), but also influenced by the state of the individuals. In particular, layer-switching cost is taken into consideration in our model. The numerical results indicate that multilayer networks have the lower threshold and the larger propagation size than the single network. Furthermore, we get the threshold equation from the simulation results and prove that the structure of source layer plays a dominant role in the multilayer system.
Authors and Affiliations
QIANG HUANG, YANYAO LAN, YAZAI XIE, WEIZHANG S, JINGTAI TANG
Keywords
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- EP ID EP249786
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