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A multilevel network study of the effects of delinquent behavior on friendship evolution

机译:犯罪行为对友谊演变影响的多层次网络研究

摘要

A multilevel approach is proposed to the study of the evolution of multiple networks. In this approach, the basic evolution process is assumed to be the same, while parameter values may differ between different networks. For the network evolution process, stochastic actor-oriented models are used, of which the parameters are estimated by Markov chain Monte Carlo methods. This is applied to the study of effects of delinquent behavior on friendship formation, a question of long standing in criminology. The evolution of friendship is studied empirically in 19 school classes. It is concluded that there is evidence for an effect of similarity in delinquent behavior on friendship evolution. Similarity of the degree of delinquent behavior has a positive effect on tie formation but also on tie dissolution. The last result seems to contradict current criminological theories, and deserves further study.
机译:提出了一种多层次的方法来研究多个网络的演进。在这种方法中,假定基本演进过程相同,而不同网络之间的参数值可能不同。对于网络演化过程,使用面向随机角色的模型,其中的参数通过马尔可夫链蒙特卡洛方法进行估计。这被用于研究犯罪行为对友谊形成的影响,这是犯罪学上长期存在的问题。在19个学校班级中,根据经验研究了友谊的演变。结论是,有证据表明犯罪行为的相似性对友谊的发展有影响。犯罪行为程度的相似性对领带的形成有积极的影响,但也对领带的溶解有积极的影响。最后的结果似乎与当前的犯罪学理论相矛盾,值得进一步研究。

著录项

  • 作者

    Snijders TAB; Baerveldt C;

  • 作者单位
  • 年度 2003
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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