The superdiffuser model predicts that the diffusion of a new behavior can be accelerated if superdiffusers (people who are connectors, persuaders, and mavens) are recruited to promote the behavior. We propose an expanded model where the importance of these traits varies by network structure and other network member characteristics. We assessed the plausibility of these proposed moderators using a simulation of an agent-based model in which each moderator was varied along with the superdiffuser traits of those initially seeded with the behavior. Analysis of the results of those simulations showed support for many, but not all, of the predictions as well as several surprising results that are suggestive for future empirical research.

中文翻译：

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使用基于智能体的建模扩展和探索 Superdiffuser 模型


超级扩散器模型预测，如果招募超级扩散器（连接者、说服者和专家）来促进新行为的传播，则可以加速新行为的传播。我们提出了一个扩展模型，其中这些特征的重要性因网络结构和其他网络成员特征而异。我们使用基于代理的模型的模拟评估了这些提议的调节剂的合理性，其中每个调节剂以及最初播种该行为的调节剂的超级扩散器特征都不同。对这些模拟结果的分析表明，许多（但不是全部）预测以及几个令人惊讶的结果都得到了支持，这些结果对未来的实证研究具有启发性。