This project is focusing on the merging of intraindividual variability (IIV) methods and network methods and applying this fusion method on intensive longitudinal studies. We used a two-stage approach to accomplish this. The first stage is to construct a high-dimensional person-specific network structure using IIV method and the second stage is to use network methods to examine the characteristic and measure change of this person-specific network. So far, we have found empirical evidence that impact of major life events (e.g. divorce, illness, etc) is associated with density of a psychological network which is based on 13 emotion and interpersonal behavior constructs.Further advance of this line of work includes network inferences based on Boolean rules and using network control as a tool for prevention/intervention. With proliferation of self-tracking devices and apps, we expect the increasing availability of individual-level multivariate time-series data will be ideal candidates to deploy this fusion method to uncover the interdependence within a complex developmental system.