Academic Journal

Taylor’s Law in Innovation Processes

التفاصيل البيبلوغرافية
العنوان: Taylor’s Law in Innovation Processes
المؤلفون: Francesca Tria, Irene Crimaldi, Giacomo Aletti, Vito D. P. Servedio
المصدر: Entropy, Vol 22, Iss 5, p 573 (2020)
بيانات النشر: MDPI AG, 2020.
سنة النشر: 2020
المجموعة: LCC:Science
LCC:Astrophysics
LCC:Physics
مصطلحات موضوعية: innovation dynamics, Taylor’s law, adjacent possible, Poisson–Dirichlet process, Pólya’s urn, triangular urn schemes, Science, Astrophysics, QB460-466, Physics, QC1-999
الوصف: Taylor’s law quantifies the scaling properties of the fluctuations of the number of innovations occurring in open systems. Urn-based modeling schemes have already proven to be effective in modeling this complex behaviour. Here, we present analytical estimations of Taylor’s law exponents in such models, by leveraging on their representation in terms of triangular urn models. We also highlight the correspondence of these models with Poisson–Dirichlet processes and demonstrate how a non-trivial Taylor’s law exponent is a kind of universal feature in systems related to human activities. We base this result on the analysis of four collections of data generated by human activity: (i) written language (from a Gutenberg corpus); (ii) an online music website (Last.fm); (iii) Twitter hashtags; (iv) an online collaborative tagging system (Del.icio.us). While Taylor’s law observed in the last two datasets agrees with the plain model predictions, we need to introduce a generalization to fully characterize the behaviour of the first two datasets, where temporal correlations are possibly more relevant. We suggest that Taylor’s law is a fundamental complement to Zipf’s and Heaps’ laws in unveiling the complex dynamical processes underlying the evolution of systems featuring innovation.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1099-4300
Relation: https://www.mdpi.com/1099-4300/22/5/573; https://doaj.org/toc/1099-4300
DOI: 10.3390/e22050573
URL الوصول: https://doaj.org/article/33c2235e9ce34b028f6aa306f062f861
رقم الانضمام: edsdoj.33c2235e9ce34b028f6aa306f062f861
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10994300
DOI:10.3390/e22050573