Results 11 to 20 of about 3,393 (263)
A theoretical and empirical comparison of the temporal exponential random graph model and the stochastic actor-oriented model [PDF]
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
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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
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Bounded 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
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A tutorial for modeling the evolution of network dynamics for multiple groups
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
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Stochastic actor‐oriented modelling of the impact of COVID‐19 on financial network evolution [PDF]
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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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
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The dynamics of intergenerational closure and family networks of social cohesion
We investigate the correlation of ties among school-children's parents with violence in schools, and two mechanisms of intergenerational closure (IC). Coleman described ties among parents of befriended children as IC.
Michael Windzio +2 more
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A growing evidence base suggests that complex healthcare problems are optimally tackled through cross-disciplinary collaboration that draws upon the expertise of diverse researchers.
Jinwen Luo +6 more
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Academic achievements play an important role in an individual’s professional development, and are also considered one of the main characteristics of an education system.
Sofia V. Dokuka
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Social Support and Network Formation in a Small-Scale Horticulturalist Population
Evolutionary studies of cooperation in traditional human societies suggest that helping family and responding in kind when helped are the primary mechanisms for informally distributing resources vital to day-to-day survival (e.g., food, knowledge, money,
Cohen R. Simpson
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