Equilibrium selection and altruistic behavior in noncooperative social networks

Top ◽  
2009 ◽  
Vol 17 (2) ◽  
pp. 454-470 ◽  
Author(s):  
Giuseppe De Marco ◽  
Jacqueline Morgan
2011 ◽  
Vol 13 (04) ◽  
pp. 363-381 ◽  
Author(s):  
GIUSEPPE DE MARCO ◽  
JACQUELINE MORGAN

This paper studies new refinement concepts for correlated equilibria based on altruistic behavior of the players and generalizes some refinement concepts previously developed by the authors for Nash equilibria. Effectiveness of the concepts, relations with the corresponding notions for Nash equilibria and with other correlated equilibrium refinements are investigated. The analysis of the topological properties of the set of solutions concludes the paper.


2008 ◽  
Vol 10 (01) ◽  
pp. 53-72 ◽  
Author(s):  
GIUSEPPE DE MARCO ◽  
JACQUELINE MORGAN

A concept of altruistic behavior (called friendly behavior) has been defined and used for equilibrium selection in some bargaining models in Rusinowska (2002), "Refinements of Nash Equilibria in view of Jealous and Friendly Behavior of Players", International Game Theory Review, 4, 281–299. In this paper, the situation in which every player has friendly behavior is incorporated into the general context of normal form games by introducing a new refinement concept (called friendliness equilibrium). Existence, properties and connections with another refinement concept, introduced by the authors in a previous paper and which captures an idea of reciprocal altruism, are investigated. Examples and counterexamples are given illustrating concepts, results and links with other classical refinement concepts.


Larger bonding, friendship, and social networks can play an important role in constructing social capital. The question is whether altruism or altruistic behavior can help in bringing about larger bonding. Different incentives, expectations, and motivations guide altruistic behavior, which further affect the construct of social capital. In the long run, such behaviour can create an impact on social capital and on the social domain of sustainability. The chapter sheds light on these interlinkages.


2009 ◽  
Vol 12 (02) ◽  
pp. 221-232 ◽  
Author(s):  
VÍCTOR M. EGUÍLUZ ◽  
CLAUDIO J. TESSONE

Experimental studies have shown the ubiquity of altruistic behavior in human societies. The social structure is a fundamental ingredient to understand the degree of altruism displayed by the members of a society, in contrast to individual-based features, like for example age or gender, which have been shown not to be relevant to determine the level of altruistic behavior. We explore an evolutionary model aiming to delve how altruistic behavior is affected by social structure. We investigate the dynamics of interacting individuals playing the Ultimatum Game with their neighbors given by a social network of interaction. We show that a population self-organizes in a critical state where the degree of altruism depends on the topology characterizing the social structure. In general, individuals offering large shares but in turn accepting large shares, are removed from the population. In heterogeneous social networks, individuals offering intermediate shares are strongly selected in contrast to random homogeneous networks where a broad range of offers, below a critical one, is similarly present in the population.


Author(s):  
Mark E. Dickison ◽  
Matteo Magnani ◽  
Luca Rossi

2006 ◽  
Vol 27 (2) ◽  
pp. 108-115 ◽  
Author(s):  
Ana-Maria Vranceanu ◽  
Linda C. Gallo ◽  
Laura M. Bogart

The present study investigated whether a social information processing bias contributes to the inverse association between trait hostility and perceived social support. A sample of 104 undergraduates (50 men) completed a measure of hostility and rated videotaped interactions in which a speaker disclosed a problem while a listener reacted ambiguously. Results showed that hostile persons rated listeners as less friendly and socially supportive across six conversations, although the nature of the hostility effect varied by sex, target rated, and manner in which support was assessed. Hostility and target interactively impacted ratings of support and affiliation only for men. At least in part, a social information processing bias could contribute to hostile persons' perceptions of their social networks.


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