This article examines how political knowledge influences belief network dynamics over time.

New Findings: Using network analysis, the authors reveal several previously overlooked patterns. First, they find that among politically knowledgeable individuals versus those with less knowledge,

* Belief Network Density increases significantly and asymmetrically over time.

* Symbolic preferences remain consistently central in belief networks regardless of survey timing or population group.

Second, regarding centrality changes:

* Among knowledgeable populations, symbolic beliefs become more central faster than policy beliefs do.

* Policy beliefs themselves show increased centrality over time among the politically knowledgeable.

Crucially, Limitations: The authors identify a disconnect: while belief networks are often described using vernacular of individual-level 'conversion' theories (like Converse's), their findings suggest this mismatch limits our understanding. They argue that network analysis reveals population-based patterns inconsistent with traditional conversion frameworks.