Results 11 to 20 of about 923 (245)
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
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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, Mark Pickup
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Accounting for edge uncertainty in stochastic actor-oriented models for dynamic network analysis. [PDF]
Netw Sci (Camb Univ Press)AbstractStochastic 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 +3 more
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Stochastic actor‐oriented modelling of the impact of COVID‐19 on financial network evolution [PDF]
Stat, 2021 The coronavirus disease 2019 (COVID‐19) pandemic has led to tremendous loss of human life and has severe social and economic impacts worldwide. The spread of the disease has also caused dramatic uncertainty in financial markets, especially in the early stages of the pandemic.
Amanda M.Y. Chu +2 more
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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.
Pink, Sebastian +2 more
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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
Indlekofer, Natalie, Brandes, Ulrik
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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
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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 ...
Lospinoso, J +3 more
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Dynamic Evolution Analysis of Social Network in cMOOC Based on RSiena Model
Canadian Journal of Learning and Technology, 2022 The network is a key concept which has been highly valued in connectivism. Research about the static characteristics of social networks in connectivist learning has been carried out in recent years, however, little knowledge exists regarding the ...
Yaqian Xu, Junlei Du
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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. However, most social network‐based approaches in ecology are constrained to considering networks as static, despite several calls for
Fisher, DN +3 more
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