The complex network of phenomenon of life thriving has the characteristics of a small world and conforms to the characteristics of behavior communication and communication. Based on the classical SIR model, using the NetLogo simulation modeling to analyzes the propagation characteristics and laws of thriving in time and cyberspace under different conditions. This paper constructs the transmission network of the phenomenon of life thriving and studies the transmission mechanism, and explores the structural transmission characteristics of phenomenon of life thriving of urban older adults. This covers the infectious track and characteristics of the network structure of the thriving life phenomenon of older adults in four cities. Simulation experiment 1 is when the infectious rate of thriving in life is equal to the immune rate, simulation experiment 2 is when the infectious rate of thriving in life is greater than the immune rate, and simulation experiment 3 is when the infectious rate of thriving in life is less than the immune rate, there are four intersections among the thriving, non-thriving, and potentially thriving populations and four equilibria are established. Compared with the simulation experiments 1 and 2, simulation experiment 3 area in the middle of the focus part of exuberant, not exuberant, and susceptible is smaller, and the order of establishing the balance changes. The time of establishing the balance is longer than the balance in experiment 1 and shorter than the balance time in experiment 2. The duration of the exuberant phenomenon is relatively short in simulation experiments 3. Hence,under the different simulation conditions, the infection phenomenon of network structure is characterized by infection delay, complexity, and cascade diffusion among urban older adults. The initial state of the social network, the transmission rate of the exuberant phenomenon, and the immunization rate affect the peak characteristics of the exuberant infection curve.