Multiplexity in networks


Gwang-Il Ko
(Department of Physics, Korea University)



Most complex network studies thus far have been focused on single-layer framework. It becomes increasingly clear, however, that many real-world complex systems are multiplex---nodes interact with multiple types of interactions (links) which coexist, co-depend, and coevolve. The interplay of such multiplex interactions may confer nontrivial consequences on network dynamics. We present some recent results regarding the network multiplexity. We first show how such multiplexity affects cascade dynamics on networks. We then discuss the correlated multiplexity and its structural impact and evolution model.