A continuous-time behavioral process yields equilibrium network distributions in exponential family form, enabling preference estimation from cross-sectional data.
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cs.SI 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Total impact in linear diffusion processes on networks approximates to first order as the product of eigenvector centralities times a spectral expression decaying exponentially with distance.
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A Behavioral Micro-foundation for Cross-sectional Network Models
A continuous-time behavioral process yields equilibrium network distributions in exponential family form, enabling preference estimation from cross-sectional data.
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The Decay of Impact with Network Distance in Linear Diffusion Processes
Total impact in linear diffusion processes on networks approximates to first order as the product of eigenvector centralities times a spectral expression decaying exponentially with distance.