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- W77251103 abstract "AbstractSocial contagion models describe an evolution of states of individual agents under influence of their neighbouring agents by mutual contagion of these states. Although the behaviour of individual agents in such models is often simple, global dynamics that emerge from interaction of a large number of agents is non-trivial. In this paper abstraction techniques are proposed that allow approximating with a high accuracy global patterns of behaviour emerging in social contagion models with underlying dynamic networks. Furthermore, these techniques improve substantially the computational efficiency of social contagion models. In particular, they allow a 6 times speed up of the simulation of the model described in the paper.Keywordsmodel abstractionsocial contagion modelsdynamic networkssocial decision making" @default.
- W77251103 created "2016-06-24" @default.
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- W77251103 date "2013-01-01" @default.
- W77251103 modified "2023-09-27" @default.
- W77251103 title "Abstraction of Social Contagion Models with Dynamic Networks" @default.
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- W77251103 doi "https://doi.org/10.1007/978-3-642-40495-5_6" @default.
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