2013
DOI: 10.1016/j.geb.2013.01.004
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Heterogeneous network games: Conflicting preferences

Abstract: 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 f… Show more

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Cited by 26 publications
(41 citation statements)
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“…We then study in Sec. III the dynamically relevant equilibria and compare them with the ones found in [31,32] with an analytical, static approach. Subsequently, we also extend the study to the case of a scale-free network and Proportion Imitation, comparing the differences when the same games are played in the absence of individual preferences.…”
Section: Introductionmentioning
confidence: 83%
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“…We then study in Sec. III the dynamically relevant equilibria and compare them with the ones found in [31,32] with an analytical, static approach. Subsequently, we also extend the study to the case of a scale-free network and Proportion Imitation, comparing the differences when the same games are played in the absence of individual preferences.…”
Section: Introductionmentioning
confidence: 83%
“…Let us call χ i the number of agent i's neighbors who choose action 1, so the number of neighbors that choose action 0 is k i − χ i . As described in [31], from the purely static, theoretical viewpoint in economics, we have two thresholds to compare with χ i in order to permit to agent i to decide which action to take:…”
Section: Best Responsementioning
confidence: 99%
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“…Finding equilibrium in online gaming as an example of Designer-Adversary game was described in [4]. Cooperation in the network games and model of interaction between coalitions is considered in [3]. Pairwise interaction was exposed on the example of dissemination of information and misinformation in social networks, in [8].…”
Section: Introductionmentioning
confidence: 99%