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...
Κύριοι συγγραφείς: | Schweinberger, M, Snijders, T |
---|---|
Μορφή: | Journal article |
Γλώσσα: | English |
Έκδοση: |
2003
|
Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
-
Maximum likelihood estimation for social network dynamics
ανά: Koskinen, J, κ.ά.
Έκδοση: (2010) -
Maximum Likelihood Estimation for Social Network Dynamics
ανά: Snijders, T, κ.ά.
Έκδοση: (2010) -
Maximum likelihood estimation for social network dynamics
ανά: Snijders, T, κ.ά.
Έκδοση: (2010) -
Markov models for digraph panel data: Monte Carlo-based derivative estimation
ανά: Schweinberger, M, κ.ά.
Έκδοση: (2007) -
Assessing and accounting for time heterogeneity in stochastic actor oriented models.
ανά: Lospinoso, J, κ.ά.
Έκδοση: (2011)