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Motivations (1)A sort of real networks composed of nodes with binary states (a)sIS epidemic networks: susceptible/infected (b Stock market: buyers/sellers ( c) Neural networks abstracted with firing and quiescent nodes ( d) Communication networks with transmitters and receivers Generalized information-flow yields between linked pairs of nodes in two opposite states The function of such networks is to produce generalized information flow So we call them flow networks Only links between the nodes in the opposite states are effective for the function of a specific networkMotivations (1) A sort of real networks composed of nodes with binary states: (a) SIS epidemic networks: susceptible/infected (b) Stock market: buyers /sellers (c) Neural networks abstracted with firing and quiescent nodes (d) Communication networks with transmitters and receivers. Generalized information-flow yields between linked pairs of nodes in two opposite states. The function of such networks is to produce generalized information flow. So we call them flow networks. Only links between the nodes in the opposite states are effective for the function of a specific network
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