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Analysis of institutional authors

Sanz NuÑo, Juan CarlosAuthorDe Vicente, JavierAuthorOlarrea, JoseAuthor

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June 9, 2019
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Evolutionary Daisyworld models: A new approach to studying complex adaptive systems

Publicated to: Ecological Informatics. 5 (4): 231-240 - 2010-07-01 5(4), DOI: 10.1016/j.ecoinf.2010.03.003

Authors:

Nuño, JC; de Vicente, J; Olarrea, J; López, P; Lahoz-Beltrá, R
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Affiliations

Univ Complutense Madrid, Fac Biol Sci, Dept Appl Math, E-28040 Madrid, Spain - Author
Univ Politecn Madrid, Dept Appl Math & Stat, Escuela Tecn Super Ingn Aeronaut, E-28040 Madrid, Spain - Author
Univ Politecn Madrid, Dept Math Appl Nat Resources, Escuela Tecn Super Ingnenieros Montes, E-28040 Madrid, Spain - Author
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Abstract

This paper presents a model of a population of error-prone self-replicative species (replicators) that interact with its environment. The population evolves by natural selection in an environment whose change is caused by the evolutionary process itself. For simplicity, the environment is described by a single scalar factor, i.e. its temperature. The formal formulation of the model extends two basic models of Ecology and Evolutionary Biology, namely, Daisyworld and Quasispecies models. It is also assumed that the environment can also change due to external perturbations that are summed up as an external noise. Unlike previous models, the population size self-regulates, so no ad hoc population constraints are involved. When species replication is error-free, i.e. without mutation, the system dynamics can be described by (n + 1)-dimensional system of differential equations, one for each of the species initially present in the system, and another for the evolution of the environment temperature. Analytical results can be obtained straightforwardly in low-dimensional cases. In these examples, we show the stabilizing effect of thermal white noise on the system behavior. The error-prone self-replication, i.e. with mutation, is studied computationally. We assume that species can mutate two independent parameters: its optimal growth temperature and its influence on the environment temperature. For different mutation rates the system exhibits a large variety of behaviors. In particular, we show that a quasispecies distribution with an internal sub-distribution appears, facilitating species adaptation to new environments. Finally, this ecologically inspired evolutionary model is applied to study the origin and evolution of public opinion. (C) 2010 Elsevier B.V. All rights reserved.
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Keywords

Complex adaptive systemDaisyworldDynamicsEcosystemsEvolutionary algorithmMathematical modellingNatural-selectionQuasispecies

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Ecological Informatics due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2010, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Computational Theory and Mathematics. Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Ecology.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-25:

  • WoS: 5
  • Scopus: 4
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-25:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 29 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/8366/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 669
  • Downloads: 654
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Carlos Nuno, Juan) .

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Awards linked to the item

This work has been partially supported by project FIS2009-13690 of the Ministerio de Ciencia e Innovation de Espana and grant Q060120012 of the Universidad Politecnica de Madrid. Rafael Lahoz-Beltra was supported by the Laboratorio de Bioinformatica, Universidad Complutense de Madrid (UCM), and in part under the grant Profesores UCM en el Extranjero 2008. We wish to thank Cormac de Brun for reading the manuscript and perfecting the English language. Finally, the authors gratefully acknowledge the anonymous reviewers for their suggestions which helped to improve this paper.
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