Autologistic actor attribute models
Autologistic Actor Attribute Models (ALAAMs) are a family of statistical models used to model the occurrence of node attributes in network data. They are frequently used with social network data to model social influence, the process by which connections in a social network influence the outcomes experienced by nodes. However, they may be applied to any type of network data that incorporate binary node attributes.
Background
Autologistic Actor Attributes Models (ALAAMs) are a method for social network analysis. They were originally proposed as alteration of Exponential Random Graph Models (ERGMs) to allow for the study of social influence. ERGMs are a family of statistical models
Definition
Estimation
Currently, these algorithms are implemented in the PNet[1] and MPNet software, published by Melnet, a research group at the University of Melbourne[2].
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