Results 1 to 10 of about 3,393 (263)

Goodness of fit for stochastic actor-oriented models [PDF]

Methodological Innovations, 2019
We propose a Mahalanobis distance–based Monte Carlo goodness of fit testing procedure for the family of stochastic actor-oriented models for social network evolution.
Josh Lospinoso, Tom AB Snijders
doaj   +5 more sources

Stochastic Actor-Oriented Models for Network Dynamics [PDF]

Annual Review of Statistics and Its Application, 2017
Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longitudinal network data collected as a panel. The probability model defines an unobserved stochastic process of tie changes, where social actors add new ties or drop existing ties in response to the current network structure; the panel observations are ...
Tom A B Snijders
exaly   +11 more sources

Assessing and accounting for time heterogeneity in stochastic actor oriented models [PDF]

Advances in Data Analysis and Classification, 2010
This paper explores time heterogeneity in stochastic actor oriented models (SAOM) proposed by Snijders (Sociological Methodology. Blackwell, Boston, pp 361-395, 2001) which are meant to study the evolution of networks. SAOMs model social networks as directed graphs with nodes representing people, organizations, etc., and dichotomous relations ...
Michael Schweinberger, Tom A B Snijders, Snijders Tom A B   +2 more
exaly   +8 more sources

Contemporaneous Statistics for Estimation in Stochastic Actor-Oriented Co-evolution Models [PDF]

Psychometrika, 2019
Stochastic actor-oriented models (SAOMs) can be used to analyse dynamic network data, collected by observing a network and a behaviour in a panel design. The parameters of SAOMs are usually estimated by the method of moments (MoM) implemented by a stochastic approximation algorithm, where statistics defining the moment conditions correspond in a ...
Viviana Amati, Tom A B Snijders, Snijders Tom A B   +2 more
exaly   +9 more sources

Visualization methods for longitudinal social networks and stochastic actor-oriented modeling [PDF]

Social Networks, 2012
Abstract As a consequence of the rising interest in longitudinal social networks and their analysis, there is also an increasing demand for tools to visualize them. We argue that similar adaptations of state-of-the-art graph-drawing methods can be used to visualize both, longitudinal networks and predictions of stochastic actor-oriented models (SAOMs),
Ulrik Brandes
exaly   +4 more sources

Stochastic actor oriented model with random effects [PDF]

Social Networks
The stochastic actor oriented model (SAOM) is a method for modelling social interactions and social behaviour over time. It can be used to model drivers of dynamic interactions using both exogenous covariates and endogenous network configurations, but also the co-evolution of behaviour and social interactions.
Giacomo Ceoldo, Tom A B Snijders, Ernst C Wit   +2 more
exaly   +5 more sources

Insight into Selecting Adolescents for Drinking Intervention Programs: a Simulation Based on Stochastic Actor–Oriented Models [PDF]

Prevention Science, 2021
Adolescent drinking remains a prominent public health and socioeconomic issue in the USA with costly consequences. While numerous drinking intervention programs have been developed, there is little guidance whether certain strategies of participant recruitment are more effective than others.
Cheng Wang, John R Hipp, Carter T Butts
exaly   +6 more sources

Relative importance of effects in stochastic actor-oriented models [PDF]

Network Science, 2013
AbstractA measure of relative importance of network effects in the stochastic actor-oriented model (SAOM) is proposed. The SAOM is a parametric model for statistical inference in longitudinal social networks. The complexity of the model makes the interpretation of inferred results difficult. So far, the focus is on significance tests while the relative
Indlekofer, Natalie, Brandes, Ulrik
openaire   +3 more sources

Choice modelling in social networks using stochastic actor-oriented models [PDF]

Journal of Choice Modelling, 2020
Abstract Combining choice modelling with social network analysis, we show how the stochastic actor-oriented model for the co-evolution of networks and behavior (SAOM) can be used as a powerful statistical framework to empirically analyze network-related choices.
Sebastian Pink, David Kretschmer, Lars Leszczensky   +2 more
exaly   +3 more sources

Accounting for edge uncertainty in stochastic actor-oriented models for dynamic network analysis. [PDF]

Netw Sci (Camb Univ Press)
Abstract Stochastic Actor-Oriented Models (SAOMs) were designed in the social network setting to capture network dynamics representing a variety of influences on network change. The standard framework assumes the observed networks are free of false positive and false negative edges, which may be an unrealistic assumption.
Shappell HM, Kramer MA, Chu CJ, Kolaczyk ED.   +3 more
europepmc   +4 more sources