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Heterogeneous network games: Conflicting preferences

Heterogeneous network games: conflicting preferences
Authors: Penélope Hernández; Manuel Muñoz-Herrera; Ángel Sánchez;

Heterogeneous network games: Conflicting preferences

Abstract

In many economic situations, a player pursues coordination or anti-coordination with her neighbors on a network, but she also has intrinsic preferences among the available options. We here introduce a model which allows to analyze this issue by means of a simple framework in which players endowed with an idiosyncratic identity interact on a social network through strategic complements or substitutes. We classify the possible types of Nash equilibria under complete information, finding two thresholds for switching action that relate to the two-player setup of the games. This structure of equilibria is considerably reduced when turning to incomplete information, in a setup in which players only know the distribution of the number of neighbors of the network. For high degrees of heterogeneity in the population the equilibria is such that every player can choose her preferred action, whereas if one of the identities is in the minority frustration ensues.

Country
Netherlands
Keywords

social networks, Matemáticas, Heterogeneity, Networks, Nash Equilibrium, Stability, 2-person games, Social networks, Noncooperative games, COMPLEMENTARITIES, incomplete information, Bayesian equilibrium, Games involving graphs, heterogeneity, Heterogeneity, Social networks; opinion dynamics, Incomplete information, jel: jel:Z13, jel: jel:D85, jel: jel:C72, jel: jel:D03, jel: jel:L14

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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