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Artículo

Architectures engender crises: The emergence of power laws in social networks

Tohmé, Fernando AbelIcon ; Larrosa, Juan Manuel CeferinoIcon
Fecha de publicación: 05/2016
Editorial: Elsevier Science
Revista: Physica A: Statistical Mechanics and its Applications
ISSN: 0378-4371
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Matemática Pura

Resumen

Recent financial crises posed a number of questions. The most salient were related to the cogency of derivatives and other sophisticated hedging instruments. One claim is that all those instruments rely heavily on the assumption that events in the world are guided by normal distributions while, instead, all the evidence shows that they actually follow fat-tailed power laws. Our conjecture is that it is the very financial architecture that engenders extreme events. Not on purpose but just because of its complexity. That is, the system has an internal connection structure that is able to propagate and enhance initially small disturbances. The final outcome ends up not being correlated with its triggering event. To support this claim, we appeal to the intuition drawn from the behavior of social networks. Most of the interesting cases constitute scale-free structures. In particular, we contend, those that arise from strategic decisions of the agents.
Palabras clave: Contagion , Financial Crisis , Network Formation Game , Scale-Free Network
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Atribución-NoComercial-SinDerivadas 2.5 Argentina (CC BY-NC-ND 2.5 AR)
Identificadores
URI: http://hdl.handle.net/11336/50936
URL: http://www.sciencedirect.com/science/article/pii/S037843711501153X
DOI: http://dx.doi.org/10.1016/j.physa.2015.12.116
Colecciones
Articulos(IIESS)
Articulos de INST. DE INVESTIGACIONES ECONOMICAS Y SOCIALES DEL SUR
Citación
Tohmé, Fernando Abel; Larrosa, Juan Manuel Ceferino; Architectures engender crises: The emergence of power laws in social networks; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 450; 5-2016; 305-316
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