Memory-cognizant generalization to Simon's random-copying neutral model

Simon's classical random-copying model, introduced in 1955, has garnered much attention for its ability, in spite of an apparent simplicity, to produce characteristics similar to those observed across the spectrum of complex systems. Through a discrete-time mechanism in which items are added to...

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Main Authors: Joseph D. O'Brien, James P. Gleeson
Format: Article
Language:English
Published: American Physical Society 2021-10-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.3.043057
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author Joseph D. O'Brien
James P. Gleeson
author_facet Joseph D. O'Brien
James P. Gleeson
author_sort Joseph D. O'Brien
collection DOAJ
description Simon's classical random-copying model, introduced in 1955, has garnered much attention for its ability, in spite of an apparent simplicity, to produce characteristics similar to those observed across the spectrum of complex systems. Through a discrete-time mechanism in which items are added to a sequence based upon rich-gets-richer dynamics, Simon demonstrated that the resulting size distributions of such sequences exhibit power-law tails. The simplicity of this model arises from the approach by which copying occurs uniformly over all previous elements in the sequence. Here we propose a generalization of this model which moves away from this uniform assumption, instead incorporating memory effects that allow the copying event to occur via an arbitrary age-dependent kernel. Through this approach, we first demonstrate the potential to determine further information regarding the structure of sequences from the classical model before illustrating, via analytical study and numeric simulation, the flexibility offered by the arbitrary choice of memory. Furthermore, we demonstrate how previously proposed memory-dependent models can be further studied as specific cases of the proposed framework.
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spelling doaj.art-05939af2afa04a1286d689e2abded8e42024-04-12T17:14:59ZengAmerican Physical SocietyPhysical Review Research2643-15642021-10-013404305710.1103/PhysRevResearch.3.043057Memory-cognizant generalization to Simon's random-copying neutral modelJoseph D. O'BrienJames P. GleesonSimon's classical random-copying model, introduced in 1955, has garnered much attention for its ability, in spite of an apparent simplicity, to produce characteristics similar to those observed across the spectrum of complex systems. Through a discrete-time mechanism in which items are added to a sequence based upon rich-gets-richer dynamics, Simon demonstrated that the resulting size distributions of such sequences exhibit power-law tails. The simplicity of this model arises from the approach by which copying occurs uniformly over all previous elements in the sequence. Here we propose a generalization of this model which moves away from this uniform assumption, instead incorporating memory effects that allow the copying event to occur via an arbitrary age-dependent kernel. Through this approach, we first demonstrate the potential to determine further information regarding the structure of sequences from the classical model before illustrating, via analytical study and numeric simulation, the flexibility offered by the arbitrary choice of memory. Furthermore, we demonstrate how previously proposed memory-dependent models can be further studied as specific cases of the proposed framework.http://doi.org/10.1103/PhysRevResearch.3.043057
spellingShingle Joseph D. O'Brien
James P. Gleeson
Memory-cognizant generalization to Simon's random-copying neutral model
Physical Review Research
title Memory-cognizant generalization to Simon's random-copying neutral model
title_full Memory-cognizant generalization to Simon's random-copying neutral model
title_fullStr Memory-cognizant generalization to Simon's random-copying neutral model
title_full_unstemmed Memory-cognizant generalization to Simon's random-copying neutral model
title_short Memory-cognizant generalization to Simon's random-copying neutral model
title_sort memory cognizant generalization to simon s random copying neutral model
url http://doi.org/10.1103/PhysRevResearch.3.043057
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