Agentes computacionales y análisis económico

Larrosa, Juan Manuel Ceferino

doi:10.18601/01245996.v18n34.07

Cited by 3 publications

(2 citation statements)

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“…Once the target network was captured, relations were modeled computationally to carry out diffusion tests. Agent-based simulation methodology (Larrosa, 2016) allows, among many other features, to represent agents operating in networks and analyze the resulting diffusion processes. Agent-based simulation has the advantage that it captures the structure of the social network in which the analyzed phenomenon occurs (Libai et al , 2013).…”

Section: Resultsmentioning

confidence: 99%

Marketing and social networks: a criterion for detecting opinion leaders

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Larrosa

et al. 2017

EJMBE

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Purpose-The purpose of this paper is to use the practical application of tools provided by social network theory for the detection of potential influencers from the point of view of marketing within online communities. It proposes a method to detect significant actors based on centrality metrics. Design/methodology/approach-A matrix is proposed for the classification of the individuals that integrate a social network based on the combination of eigenvector centrality and betweenness centrality. The model is tested on a Facebook fan page for a sporting event. NodeXL is used to extract and analyze information. Semantic analysis and agent-based simulation are used to test the model. Findings-The proposed model is effective in detecting actors with the potential to efficiently spread a message in relation to the rest of the community, which is achieved from their position within the network. Social network analysis (SNA) and the proposed model, in particular, are useful to detect subgroups of components with particular characteristics that are not evident from other analysis methods. Originality/value-This paper approaches the application of SNA to online social communities from an empirical and experimental perspective. Its originality lies in combining information from two individual metrics to understand the phenomenon of influence. Online social networks are gaining relevance and the literature that exists in relation to this subject is still fragmented and incipient. This paper contributes to a better understanding of this phenomenon of networks and the development of better tools to manage it through the proposal of a novel method.

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Section: Resultsmentioning

confidence: 99%

Marketing and social networks: a criterion for detecting opinion leaders

Litterio

Nantes

Larrosa

et al. 2017

EJMBE

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“…Los MBA son representaciones abstractas de la realidad en los que los objetos a) interactúan entre sí y con el medio ambiente; b) son autónomos (Larrosa, 2016), no hay un control central de su comportamiento, y c) el resultado es numérico. Además, es importante considerar que cuando se modelan individuos las interacciones y los resultados son típicamente discretos y no continuos (Aguilera Ontiveros & Posada Calvo, 2017).…”

Section: Modelación Basada En Agentesunclassified

Caracterización de agentes de consumo energético en el sector residencial del Ecuador basada en una encuesta nacional y en los sistemas de información geográfica para modelamiento de sistemas energéticos

et al. 2022

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El sector residencial es un ejemplo de los retos que se presentan al momento de modelar la heterogeneidad del sistema energético en búsqueda de la evaluación de la política energética. Algunas de las características que influyen en la oferta y demanda de energía del sector residencial son el tipo de consumo, el ingreso de los hogares, la composición familiar, el tipo de vivienda, la zona climática de residencia, entre otras. El objetivo de esta investigación es caracterizar los agentes de consumo energético en el sector residencial del Ecuador. Para lograrlo, en este artículo se presenta una metodología que combina una encuesta nacional (en línea y puerta a puerta) con sistemas de información geográfica (SIG). La encuesta permite definir las principales motivaciones, objetivos de inversión y método de decisión de los agentes al momento de renovar o mantener tecnologías energéticas del hogar. Para esto, se ha clasificado a los agentes con base en su nivel de ingresos. Los SIG permiten localizar espacialmente a los agentes y tener una estimación sobre la población que pertenece a cada agente por el nivel de ingreso. Los resultados se presentan por nivel de ingreso para cada grupo de agentes y se geolocalizan caracterizándolos de forma espacial. Se determina los atributos cuantitativos de cada agente con el fin de ser utilizados en modelación de sistemas de energía.

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Why is Equity Capital Expensive for Opaque Banks?

Kauko

2012

SSRN Journal

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Bank managers often claim that equity is expensive relative to debt, which contradicts the Modigliani-Miller irrelevance theorem. This paper combines dividend signalling theories and the Diamond-Dybvig bank run model. An opaque bank must signal its solvency by paying high and stable dividends in order to keep depositors tranquil. This signalling may require costly liquidations if the return on assets has been poor, but not paying the dividend might cause panic and trigger a run on the bank. The more equity has been issued, the more liquidations are needed during bad times to pay the expected dividend to each share.

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Agentes computacionales y análisis económico

Cited by 3 publications

References 48 publications

Marketing and social networks: a criterion for detecting opinion leaders

Marketing and social networks: a criterion for detecting opinion leaders

Caracterización de agentes de consumo energético en el sector residencial del Ecuador basada en una encuesta nacional y en los sistemas de información geográfica para modelamiento de sistemas energéticos

Why is Equity Capital Expensive for Opaque Banks?

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