This document explores key methods in longitudinal network analysis within psychological research. It covers foundational concepts such as temporal and contemporaneous networks, multilevel modeling, and autocorrelation. Additionally, methods for handling stationarity assumptions, equidistant measurements, and Time-Varying Networks are discussed, providing a comprehensive guide to modeling dynamic psychological processes over time.