realizing the dynamics of multi-phase flows has been a problem within the fields of nonlinear dynamics and fluid mechanics. This bankruptcy stories our paintings on two-phase movement dynamics together with complicated community conception. We systematically performed gas-water/oil-water two-phase circulate experiments for measuring the time sequence of movement indications that's studied by way of the mapping from time sequence to complicated networks. 3 community mapping equipment have been proposed for the research and id of circulate styles, i.e. circulation development complicated community (FPCN), Fluid Dynamic advanced community (FDCN) and Fluid constitution advanced community (FSCN). via detecting the group constitution of FPCN in keeping with K-means clustering, designated move styles will be effectively exotic and pointed out. a few FDCN’s lower than assorted stream stipulations have been built to be able to show the dynamical features of two-phase flows. The FDCNs express common power-law measure distributions. The power-law exponent and the community info entropy are delicate to the transition between various circulation styles, which might be used to symbolize nonlinear dynamics of the two-phase movement. FSCNs have been developed within the part area via a common technique that we brought. The statistical homes of FSCN offers quantitative perception into the fluid constitution of two-phase circulation. those fascinating and critical findings recommend that advanced networks could be a in all probability strong device for uncovering the nonlinear dynamics of two-phase flows.