Autologistic actor attribute models (ALAAMs) provide new analytical opportunities to advance research on how individual attitudes, cognitions, behaviors, and outcomes diffuse through networks of social relations in which individuals in organizations are embedded. ALAAMs add to available statistical models of social contagion the possibility of formulating and testing competing hypotheses about the specific mechanisms that shape patterns of adoption/diffusion. The main objective of this article is to provide an introduction and a guide to the specification, estimation, interpretation and evaluation of ALAAMs. Using original data, we demonstrate the value of ALAAMs in an analysis of academic performance and social networks in a class of graduate management students. We find evidence that both high and low performance are contagious, that is, diffuse through social contact. However, the contagion mechanisms that contribute to the diffusion of high performance and low performance differ subtly and systematically. Our results help us identify new questions that ALAAMs allow us to ask, new answers they may be able to provide, and the constraints that need to be relaxed to facilitate their more general adoption in organizational research.

自体行为者属性模型（ALAAM）提供了新的分析机会，可以促进有关个人态度，认知，行为和结果如何通过组织中个人所嵌入的社会关系网络的扩散研究。ALAAM为社会传播的统计模型增加了制定和检验有关影响采用/扩散模式的特定机制的假设的可能性。本文的主要目的是为ALAAM的规范，估计，解释和评估提供简介和指南。使用原始数据，我们通过分析一类研究生课程的学生的学习成绩和社交网络，证明了ALAAM的价值。我们发现有证据表明，高绩效和低绩效都是具有传染性的，也就是说，通过社会接触传播。但是，导致高性能和低性能扩散的传染机制在系统上有所不同。我们的结果有助于我们确定ALAAM允许我们提出的新问题，它们可能提供的新答案以及需要放松的约束以促进其在组织研究中的更广泛采用。