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Reference.org
Autologistic actor attribute models
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<p>Autologistic actor attribute models (ALAAMs) are a group of <a href="/facts/Statistical_model/jKkT5ftm">statistical models</a> designed to analyze how traits or characteristics (node attributes) of individuals (nodes) in a <a href="/facts/Network_theory/m6CQovwm">network</a> are influenced by their connections. Commonly applied to <a href="/facts/Social_network/kQg6aEVf">social network</a> data, ALAAMs study <a href="/facts/Social_influence/jR84Vghj">social influence</a>—how relationships within a network shape individual outcomes, such as behaviors or beliefs. They typically focus on binary outcomes (e.g., yes/no traits), though they can also handle <a href="/facts/Ordinal_data/kgLhAaCn">ordinal</a> (ordered categories) or continuous (numerical) attributes as the variables being explained (dependent variables). By modeling these attribute patterns, ALAAMs help reveal how network ties affect personal characteristics across various types of networks. </p>