Settings in social networks: A measurement model
A class of statistical models is proposed that aims to recover latent settings structures in social networks. Settings may be regarded as clusters of vertices. The measurement model is based on two assumptions. (1) The observed network is generated by hierarchically nested latent transitive structur...
Main Authors: | Schweinberger, M, Snijders, T |
---|---|
Formato: | Journal article |
Idioma: | English |
Publicado em: |
2003
|
Registos relacionados
-
Maximum likelihood estimation for social network dynamics
Por: Koskinen, J, et al.
Publicado em: (2010) -
Maximum Likelihood Estimation for Social Network Dynamics
Por: Snijders, T, et al.
Publicado em: (2010) -
Maximum likelihood estimation for social network dynamics
Por: Snijders, T, et al.
Publicado em: (2010) -
Markov models for digraph panel data: Monte Carlo-based derivative estimation
Por: Schweinberger, M, et al.
Publicado em: (2007) -
Assessing and accounting for time heterogeneity in stochastic actor oriented models.
Por: Lospinoso, J, et al.
Publicado em: (2011)