Results 11 to 20 of about 1,219 (252)
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
Structural Characteristics and Evolutionary Drivers of Global Virtual Water Trade Networks: A Stochastic Actor-Oriented Model for 2000-2015. [PDF]
Int J Environ Res Public Health, 2023 The globalization of trade has caused tremendous pressure on water resources globally, and a virtual water trade provides a new perspective on global freshwater sharing and water sustainability. No study has yet explored the structural characteristics and drivers of the evolution of global virtual water trade networks from a network structure evolution
Xing L, Chen W.
europepmc +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 +9 more sources
Stochastic actor oriented model with random effects [PDF]
Social NetworksThe 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 +2 more
exaly +5 more sources
An Empirical and Simulation Investigation of Bounded Confidence and Negative Influence in Opinion Dynamics Using Stochastic Actor-Oriented Model [PDF]
JasssBounded confidence and negative influence are two of the most important micro-level mechanisms employed in computational models of opinion dynamics to explain polarization of opinions. However, empirical evidence of both mechanisms is debatable. Two common limitations in existing empirical studies are (1) the limited external validity of laboratory ...
Tom A B Snijders, Andreas Flache
exaly +4 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 +2 more
exaly +3 more sources
A theoretical and empirical comparison of the temporal exponential random graph model and the stochastic actor-oriented model [PDF]
Network Science, 2019 AbstractThe temporal exponential random graph model (TERGM) and the stochastic actor-oriented model (SAOM, e.g., SIENA) are popular models for longitudinal network analysis. We compare these models theoretically, via simulation, and through a real-data example in order to assess their relative strengths and weaknesses.
Philip Leifeld, Skyler J. Cranmer
openaire +4 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 +3 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 +2 more
exaly +8 more sources