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Agent-Based Modeling and Network Dynamics$
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Akira Namatame and Shu-Heng Chen

Print publication date: 2016

Print ISBN-13: 9780198708285

Published to Oxford Scholarship Online: March 2016

DOI: 10.1093/acprof:oso/9780198708285.001.0001

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Agent-Based Models of Social Networks

Agent-Based Models of Social Networks

(p.91) 4 Agent-Based Models of Social Networks
Agent-Based Modeling and Network Dynamics

Akira Namatame

Shu-Heng Chen

Oxford University Press

Chapter 4 addresses how network topologies are determined by introducing agent-based models of social networks as network-formation algorithms. It begins with a review of cooperative and non-cooperative game theory of network formation, followed by a series of human subject experiments conducted in the light of game theory. Agent-based modeling is a companion to game-theoretic network formation. The agent-based models of social networks can be considered as an extension of the spatial games and network games. Different games with different strategic and adaptive behavior will lead to different network topologies. This chapter reviews the work done using the friendship game, the prisoner’s dilemma game, the stag hunt game, the public goods game, and the trust game. They together provide formal treatments to our understanding of how human relation is shaped by various competitive and cooperative opportunities. The chapter ends with a brief remark on the social network evolving over multiplex games.

Keywords:   cooperative game, non-cooperative game, experimental economics, friendship game, stag hunt game, public goods game, trust games, investment games, multiplex game

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