Jan Fousek · PLoS ONE 2018 · computational spatial network modeling and observational diffusion analysis · n=?

Spatial constraints on the diffusion of religious innovations: The case of early Christianity in the Roman Empire

Cited 23 times in the scientific literature.

Level 4 - case-series / case-control

Level 4 by design analogy (computational network modeling on historical observational data; non-clinical).

OpenAlex W2906097018 · doi:10.1371/journal.pone.0208744 · record verified 2026-08-31

What was done

Researchers modeled the spread of early Christianity across the Roman Empire over its first three centuries to evaluate whether it operated as a diffusive process constrained by physical travel. They combined an existing model of Roman transportation networks with estimated city populations and applied a network-theoretical effective distance framework to assess static spatial constraints and identify probable diffusion paths.

What was found

The abstract reports no numerical values, model coefficients, or goodness-of-fit metrics. Qualitatively, the authors report that the spread of Christianity during the first two centuries closely followed gravity-guided diffusion constrained by travel networks and urban structure, with diffusion substantially accelerating in the third century.

Why it matters

The study demonstrates that large-scale historical religious and cultural spread can be largely explained by physical transportation infrastructure and urbanization patterns using network-theoretical methods.

Limits

The abstract reports no empirical sample sizes (e.g., number of cities, Christian communities, or travel routes analyzed) and no quantitative performance metrics. The approach depends on historical approximations of city populations and transport networks, and does not capture local sociopolitical or theological factors influencing religious adoption.

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