Affinity propagation: An exemplar-based tool for clustering in psychological research

Affinity propagation is a message-passing-based clustering procedure that has received widespread attention in domains such as biological science, physics, and computer science. However, its implementation in psychology and related areas of social science is comparatively scant. In this paper, we describe the basic principles of affinity propagation, its relationship to other clustering problems, and the types of data for which it can be used for cluster analysis. More importantly, we identify the strengths and weaknesses of affinity propagation as a clustering tool in general and highlight potential opportunities for its use in psychological research. Numerical examples are provided to illustrate the method.     

Cognition and Emotion,Volume 24, 2010, List of Contents

Effective emotion regulation is important for high-quality social functioning. Recent laboratory-based evidence suggests that mindfulness may enhance emotion regulation in socioemotional contexts; however, little is known about mindful emotion regulation during in vivo social interactions. In a study of romantic couples, we assessed each partner's mindfulness and top-down attentional efficiency (with an Emotional Go/No-Go task) prior to sampling emotions and perceived connection with others during day-to-day social interactions. Analyses revealed that mindfulness-related differences in top-down attentional efficiency on the Emotional Go/No-Go predicted positive emotion during daily social interactions. In turn, positive emotion and two additional indices of social emotion regulation each mediated the relation between actor mindfulness and perceived social connection. In corresponding analyses, neither trait reappraisal nor suppression use predicted the outcomes, and all mindfulness relations held controlling for these strategies. Findings support a framework for investigating mindfulness and higher-quality social functioning, for which mindful emotion regulation may be key.