Replica analysis of a preferential urn model
Jun Ohkubo, Muneki Yasuda, Kazuyuki Tanaka

TL;DR
This paper uses the replica method to analyze a stochastic preferential urn model with randomness, revealing that it exhibits a fat-tailed occupation distribution, which is relevant for complex networks and econophysics.
Contribution
It provides the first analytical replica-based analysis of a preferential urn model with randomness, demonstrating its fat-tailed distribution.
Findings
The model exhibits a fat-tailed occupation distribution.
Replica analysis clarifies the role of randomness in the model.
Results are applicable to complex networks and econophysics.
Abstract
We analyse a preferential urn model with randomness using the replica method. The preferential urn model is a stochastic model based on the concept "the rich get richer." The replica analysis clarifies that the preferential urn model with randomness shows a fat-tailed occupation distribution. The analytical treatments and results would be useful for various research fields such as complex networks, stochastic models, and econophysics.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
