Results 11 to 20 of about 12,226 (245)
Network Science, 2022 Leifeld & Cranmer (2019) compare the stochastic actor-oriented model (SAOM) and the temporal exponential random graph model (TERGM) theoretically, using simulations, and using an empirical illustration. Block et al.
Philip Leifeld, Skyler J. Cranmer
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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
Natalie Indlekofer, Ulrik Brandes
semanticscholar +3 more sources
A theoretical and empirical comparison of the temporal exponential random graph model and the stochastic actor-oriented model [PDF]
Network Science, 2015 The temporal exponential random graph model (TERGM) and the stochastic actor-oriented model (SAOM, e.g., SIENA) are popular models for longitudinal network analysis.
Philip Leifeld, Skyler J. Cranmer
semanticscholar +5 more sources
Assessing and accounting for time heterogeneity in stochastic actor oriented models [PDF]
Advances in Data Analysis and Classification, 2011 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.
J. Lospinoso +3 more
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SSRN Electronic Journal, 2022 This study aimed to examine whether adolescents select friends based on their friends’ levels of depressive symptoms, and to determine whether the potential homophily phenomenon for depressive symptoms is attenuated after considering pubertal maturation ...
Yi-Fang Yu +6 more
semanticscholar +2 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
Network Science, 2022 Block, P., Hollway, J., Stadtfeld, C., Koskinen, J., & Snijders, T. (2022). Circular specifications and “predicting” with information from the future: Errors in the empirical SAOM–TERGM comparison of Leifeld & Cranmer. Network Science, 10(1). https://doi.
Philip Leifeld, Skyler J. Cranmer
semanticscholar +2 more sources
Analysing animal social network dynamics: the potential of stochastic actor‐oriented models [PDF]
Journal of Animal Ecology, 2017 Summary Animals are embedded in dynamically changing networks of relationships with conspecifics. These dynamic networks are fundamental aspects of their environment, creating selection on behaviours and other traits.
D. Fisher +3 more
semanticscholar +4 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
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 +3 more
semanticscholar +5 more sources