ALAAMEE: Open-source software for fitting autologistic actor attribute models

Autor:	Stivala, Alex, Wang, Peng, Lomi, Alessandro
Rok vydání:	2024
Předmět:	Statistics - Computation Computer Science - Social and Information Networks Statistics - Methodology
Druh dokumentu:	Working Paper
Popis:	The autologistic actor attribute model (ALAAM) is a model for social influence, derived from the more widely known exponential-family random graph model (ERGM). ALAAMs can be used to estimate parameters corresponding to multiple forms of social contagion associated with network structure and actor covariates. This work introduces ALAAMEE, open-source Python software for estimation, simulation, and goodness-of-fit testing for ALAAM models. ALAAMEE implements both the stochastic approximation and equilibrium expectation (EE) algorithms for ALAAM parameter estimation, including estimation from snowball sampled network data. It implements data structures and statistics for undirected, directed, and bipartite networks. We use a simulation study to assess the accuracy of the EE algorithm for ALAAM parameter estimation and statistical inference, and demonstrate the use of ALAAMEE with empirical examples using both small (fewer than 100 nodes) and large (more than 10 000 nodes) networks. Comment: Provisionally accepted for publication
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2404.03116 Zobrazit plný text záznamu View this record from Arxiv