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  • 标题:Social Relationships and the Emergence of Social Networks
  • 本地全文:下载
  • 作者:Alistair Sutcliffe ; Di Wang ; Robin Dunbar
  • 期刊名称:Journal of Artificial Societies and Social Simulation
  • 印刷版ISSN:1460-7425
  • 出版年度:2012
  • 卷号:15
  • 期号:4
  • 页码:1-15
  • DOI:10.18564/jasss.2059
  • 出版社:University of Surrey, Department of Sociology
  • 摘要:In complex social systems such as those of many mammals, including humans, groups (and hence ego-centric social networks) are commonly structured in discrete layers. We describe a computational model for the development of social relationships based on agents' strategies for social interaction that favour more less-intense, or fewer more-intense partners. A trust-related process controls the formation and decay of relationships as a function of interaction frequency, the history of interaction, and the agents' strategies. A good fit of the observed layers of human social networks was found across a range of model parameter settings. Social interaction strategies which favour interacting with existing strong ties or a time-variant strategy produced more observation-conformant results than strategies favouring more weak relationships. Strong-tie strategies spread in populations under a range of fitness conditions favouring wellbeing, whereas weak-tie strategies spread when fitness favours foraging for food. The implications for modelling the emergence of social relationships in complex structured social networks are discussed.
  • 关键词:Social Agents; Social Relationships; Trust; Evolution; Social Straegies
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