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In general, current complex systems approaches can be categorized into two types: (1) network maps that depict the topologies of large\u2010scale molecular networks without detailed characterization of the dynamics of individual components and (2) dynamical models that describe the temporal behavior in a particular set of interacting factors. In this review, we discuss examples that showcase the application of these approaches to cellular aging with a specific focus on the progress in quantifying and modeling the replicative aging of budding yeast <jats:italic>Saccharomyces cerevisiae<\/jats:italic>. We further propose potential strategies for integrating network maps and dynamical models toward a more comprehensive, mechanistic, and predictive understanding of cellular aging. 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