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- W3100128212 abstract "Nodes in a complex networked system often engage in more than one type of interactions among them; they form a multiplex network with multiple types of links. In real-world complex systems, a node's degree for one type of links and that for the other are not randomly distributed but correlated, which we term correlated multiplexity. In this paper we study a simple model of multiplex random networks and demonstrate that the correlated multiplexity can drastically affect the properties of giant component in the network. Specifically, when the degrees of a node for different interactions in a duplex Erdos-Renyi network are maximally correlated, the network contains the giant component for any nonzero link densities. In contrast, when the degrees of a node are maximally anti-correlated, the emergence of giant component is significantly delayed, yet the entire network becomes connected into a single component at a finite link density. We also discuss the mixing patterns and the cases with imperfect correlated multiplexity." @default.
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- W3100128212 date "2012-03-16" @default.
- W3100128212 modified "2023-10-03" @default.
- W3100128212 title "Correlated multiplexity and connectivity of multiplex random networks" @default.
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- W3100128212 doi "https://doi.org/10.1088/1367-2630/14/3/033027" @default.
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