Simon's fundamental rich-get-richer model entails a dominant first-mover advantage
Peter Sheridan Dodds, David Rushing Dewhurst, Fletcher F. Hazlehurst,, Colin M. Van Oort, Lewis Mitchell, Andrew J. Reagan, Jake Ryland Williams,, and Christopher M. Danforth

TL;DR
This paper revises Herbert Simon's rich-get-richer model, revealing a dominant first-mover advantage that leads to overrepresentation of initial elements, challenging previous assumptions of a simple power-law distribution.
Contribution
The study demonstrates that Simon's model inherently favors the first element, providing a new analysis of long-term rankings and variability, and offers empirical evidence of the first-mover advantage.
Findings
First element size is disproportionately large due to first-mover advantage.
Expected time for a first replication is infinite, affecting long-term dynamics.
Empirical citation data supports the revised model with first-mover dominance.
Abstract
Herbert Simon's classic rich-get-richer model is one of the simplest empirically supported mechanisms capable of generating heavy-tail size distributions for complex systems. Simon argued analytically that a population of flavored elements growing by either adding a novel element or randomly replicating an existing one would afford a distribution of group sizes with a power-law tail. Here, we show that, in fact, Simon's model does not produce a simple power law size distribution as the initial element has a dominant first-mover advantage, and will be overrepresented by a factor proportional to the inverse of the innovation probability. The first group's size discrepancy cannot be explained away as a transient of the model, and may therefore be many orders of magnitude greater than expected. We demonstrate how Simon's analysis was correct but incomplete, and expand our alternate analysis…
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.
