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European Journal of Operational Research
Article
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zbMATH Open
Article . 2014
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European Journal of Operational Research
Article . 2014 . Peer-reviewed
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DBLP
Article . 2014
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Asymmetric flow networks

Authors: Norma Olaizola; Federico Valenciano;

Asymmetric flow networks

Abstract

This paper provides a new model of network formation that bridges the gap between the two benchmark models by Bala and Goyal, the one-way flow model, and the two-way flow model, and includes both as particular extreme cases. As in both benchmark models, in what we call an "asymmetric flow" network a link can be initiated unilaterally by any player with any other, and the flow through a link towards the player who supports it is perfect. Unlike those models, in the opposite direction there is friction or decay. When this decay is complete there is no flow and this corresponds to the one-way flow model. The limit case when the decay in the opposite direction (and asymmetry) disappears, corresponds to the two-way flow model. We characterize stable and strictly stable architectures for the whole range of parameters of this "intermediate" and more general model. We also prove the convergence of Bala and Goyal's dynamic model in this context.

This research is supported by the Spanish Ministerio de Economía y Competitividad under projects ECO2009-11213 and ECO2009-07939, co-funded by the ERDF. Both authors also bene t from the Basque Government s funding to Grupos Consolidados GIC07/146-IT-377-07 and GIC07/22-IT-223-07

Country
Spain
Keywords

noncooperative network formation, Noncooperative games, C72, non-cooperative network formation, GENERAL ECONOMICS, asymmetric flow, Applications of game theory, Deterministic network models in operations research, non-cooperative network formation, asymmetric flow, stability, efficiency, dynamics, A14, dynamics, stability, MICROECONOMICS, MATHEMATICAL AND QUANTITATIVE METHODS, efficiency, networks, D20, jel: jel:D20, jel: jel:C72, jel: jel:A14

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Top 10%
Top 10%
Green
hybrid