Results 11 to 20 of about 174,978 (297)
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 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
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
core +8 more sources
Integration of an Autoencoder Model with an Actor-Oriented System
Advances in Artificial Intelligence and Machine LearningTraditional machine learning frameworks often struggle with scalability, modularity, and efficient resource management, especially when dealing with vast data. Actor-Oriented Systems offer a robust framework for building such scalable systems, allowing concurrent processing and efficient handling of large datasets.
Sithembiso Dyubele +2 more
openaire +3 more sources
Overcoming hierarchy in business model innovation: an actor-oriented approach [PDF]
European Journal of Innovation Management, 2020 PurposeBusiness model innovation is a key element for firms' competitiveness. Its development can be supported by the establishment of an actor-oriented scheme to overcome hierarchical structures. The actor-oriented scheme is characterized by intra-organizational networks of relationships that can be established and dissolved between individuals ...
Di Toma, Paolo, Ghinoi, Stefano
openaire +4 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
Requirements Engineering Model: Role Based Goal Oriented Model
MATEC Web of Conferences, 2016 Requirements engineering approach through intentional perspective is one of the arguments that appear in the field of requirement engineering. That approach can explain the characteristics of the behavior of an actor.
Sandfreni, Surendro Ir. Kridanto
doaj +3 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
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 Xing L, Chen W.
europepmc +2 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 +2 more sources