Assessing and accounting for time heterogeneity in stochastic actor oriented models [PDF]
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 +2 more
exaly +6 more sources
A tutorial for modeling the evolution of network dynamics for multiple groups [PDF]
Researchers have been increasingly taking advantage of the stochastic actor-oriented modeling framework as a method to analyze the evolution of network ties.
Andrew Pilny +2 more
doaj +2 more sources
Accounting for edge uncertainty in stochastic actor-oriented models for dynamic network analysis. [PDF]
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 +3 more
europepmc +4 more sources
Analysing animal social network dynamics: the potential of stochastic actor‐oriented models [PDF]
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
core +6 more sources
Insight into Selecting Adolescents for Drinking Intervention Programs: a Simulation Based on Stochastic Actor–Oriented Models [PDF]
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
openaire +5 more sources
Envisaging the Unobserved: a Stochastic Actor-Oriented Model for Systems of Overlapping Subgroups
This paper presents a novel statistical framework for modeling cohesive subgroups in cross-sectional network data, adhering to prior ideas about the mean and variance of the number of actors per subgroup and subgroups per actor. Subgroups emerge from actors' membership decisions, with cohesion driven by their preference to co-member with network ...
Stepan Zaretckii +3 more
openaire +2 more sources
Stochastic actor-oriented models for the co-evolution of networks and individual outcomes
Stochastic actor-oriented models (SAOMs) originated as models to explain network evolution over time. They have been extended in several directions. This chapter focuses on the extension of SAOMs for analyzing the co-evolution of networks and individual outcomes, such as behaviours, attitudes, and activities.
Viviana Amati, Tom A. B. Snijders
openaire +4 more sources
Stochastic Actor-Oriented Models of Functional and Structural Human Brain Networks in Aging
The human brain is a complex and dynamical system that changes throughout the lifetime. Non-invasive imaging techniques, including magnetic resonance imaging (MRI), allow for the measurement of large-scale functional and structural connectivity networks in the brain. Beyond trends, the dynamics across long timescales are still poorly understood.
Garrison, Emma
openaire +3 more sources
Methods for Diagnosis and Interpretation of Stochastic Actor-oriented Models for Dynamic Networks.
published
Indlekofer, Natalie
openaire +3 more sources
The Role of Cognitive Emotion Regulation for Making and Keeping Friend and Conflict Networks
We used social network analysis (SNA) to examine how adaptive ER strategies (acceptance, positive reappraisal, refocusing, and putting in perspective) and maladaptive ER strategies (rumination, catastrophizing, self- and other-blame) predict the creation
Courtney Ricciardi +2 more
doaj +1 more source

