Research has evidenced support for the spillover model, which asserts that parents' marital functioning influences their parenting and coparenting behavior in dyadic (mother-child and father-child) and triadic (mother-father-child) family contexts. However, few studies have simultaneously investigated the spillover model in both parenting and coparenting systems, preventing examination of wheth...

ING TONALITY: TRIADS AND UNIFORM TRIADIC TRANSFORMATIONS IN AN ATONAL CONTEXT

We propose and analyse a class of evolving network models suitable for describing a dynamic topological structure. Applications include telecommunication, on-line social behaviour and information processing in neuroscience. We model the evolving network as a discrete time Markov chain, and study a very general framework where, conditioned on the current state, edges appear or disappear independ...

Chronic disease is a worldwide epidemic that disproportionately affects lowto middle-income countries and regions [1]. The Chronic Care Model (CCM) is intended to address the significant societal costs and health burdens of chronic disease through redesign of the health care system and has raised awareness of the need for integration of clinical services and public health resources. To compleme...

The dynamical origin of complex networks, i.e., the underlying principles governing network evolution, is a crucial issue in network study. In this paper, by carrying out analysis to the temporal data of Flickr and Epinions-two typical social media networks, we found that the dynamical pattern in neighborhood, especially the formation of triadic links, plays a dominant role in the evolution of ...

The challenge for our panel was to address the opportunities and challenges of synthetic task environments for basic research on human performance in sociotechnical systems. In doing this, the classical three-body problem from physics is used as a metaphor to illustrate the contrast between dyadic and triadic semiotic models of cognitive systems. In the context of this metaphor, synthetic task ...

Non-Gaussian multivariate probability distributions, derived from climate and geofluid statistics, allow for nonlinear correlations between linearly uncorrelated components, due to joint Shannon negentropies. Triadic statistical dependence under pair-wise (total or partial) independence is thus possible. Synergy or interaction information among triads is estimated. We formulate an optimization ...