Peer dislike of anxious behaviour was investigated in 7-12 year olds. Child actors delivered an identical verbal presentation: once in an anxious manner and once confidently. The videos were rated for liking and seven potential mediators by three groups of children: 32 anxiety-disordered peers with social phobia; 16 anxiety-disordered peers without social phobia; and 48 nonclinical peers. A med...

Social networks collected by historians or sociologists typically have a large number of actors and edge attributes. Applying social network analysis (SNA) algorithms to these networks produces additional attributes such as degree, centrality, and clustering coefficients. Understanding the effects of this plethora of attributes is one of the main challenges of multivariate SNA. We present the d...

Social networks collected by historians or sociologists typically have a large number of actors and edge attributes. Applying social network analysis (SNA) algorithms to these networks produces additional attributes such as degree, centrality, and clustering coefficients. Understanding the effects of this plethora of attributes is one of the main challenges of multivariate SNA. We present the d...

We present a Bayesian factorization model for discovering dynamic communities of actors in a social network and for describing action types associated with those communities. The structure of a social network is often hidden in the interactions among its actors. Typically, we observe interactions between pairs of actors (i.e., an edge) and our goal is to uncover their more complex relationships...

Most descriptions of service ecosystems, which provide the foundations for value co-creation, focus on resource integration. In contrast, this article emphasizes the actor’s key role as the foundation resource for value co-creation by looking at both societaland individual-focused realms, which include the different social aspects of service ecosystems. Institutional arrangements, positions, sc...

In a dynamic social or biological environment, the interactions between the actors can undergo large and systematic changes. In this paper we propose a model-based approach to analyze what we will refer to as the dynamic tomography of such time-evolving networks. Our approach offers an intuitive but powerful tool to infer the semantic underpinnings of each actor, such as its social roles or bio...

Health systems research aims to understand the governance of health systems (i.e. how health systems function and perform and how their actors interact with each other). This can be achieved by applying innovative methodologies and concepts that are going to capture the complexity and dynamics of health systems when they are affected by shocks. The capacity of health systems to adapt to shocks ...

BACKGROUND Evidence-informed health policymaking is a goal of equitable and effective health systems but occurs infrequently in reality. Past research points to the facilitating role of interpersonal relationships between policy-makers and researchers, imploring the adoption of a social network lens. This study aims to identify network-level factors associated with the exchange and use of resea...

This paper explores the different social structures coexisting within a biology laboratory. This work draws upon an empirical study and the results are analysed using the social network analysis toolbox. We evidence that actors form links between them in order to carry out cognitive activities. Depending on the content of this activity, resulting networks can take different shapes. When dealing...

Stochastic actor-based models are models for network dynamics that can represent a wide variety of influences on network change, and allow to estimate parameters expressing such influences, and test corresponding hypotheses. The nodes in the network represent social actors, and the collection of ties represents a social relation. The assumptions posit that the network evolves as a stochastic pr...