Mining and Visualizing Research Networks using the Artefact-Actor-Network Approach

Reinhardt, W., Wilke, A., Moi, M., Drachsler, H., & Sloep, P. B. (2012). Mining and Visualizing Research Networks using the Artefact-Actor-Network Approach. In A. Abraham (Ed.), Computational Social Networks. Mining and Visualization (pp. 233-268). Springer. Also available at http://www.springer.com/computer/communication+networks/book/978-1-4471-4053-5Virtual communities are increasingly relying on technologies and tools of the so-called Web 2.0. In the context of scientific events and topical Research Networks, researchers use Social Media as one main communication channel. This raises the question, how to monitor and analyze such Research Networks. In this chapter we argue that Artefact-Actor-Networks (AANs) serve well for modeling, storing and mining the social interactions around digital learning resources originating from various learning services. In order to deepen the model of AANs and its application to Research Networks, a relevant theoretical background as well as clues for a prototypical reference implementation are provided. This is followed by the analysis of six Research Networks and a detailed inspection of the results. Moreover, selected networks are visualized. Research Networks of the same type show similar descriptive measures while different types are not directly comparable to each other. Further, our analysis shows that narrowness of a Research Network's subject area can be predicted using the connectedness of semantic similarity networks. Finally conclusions are drawn and implications for future research are discussed

Understanding and managing uncertainty in healthcare: revisiting and advancing sociological contributions

In this collection we revisit the enduring phenomenon of uncertainty in healthcare, and demonstrate how it still offers coherence and significance as an analytic concept. Through empirical studies of contemporary examples of healthcare related uncertainties and their management, our collection explores the different ways in which uncertainty may be articulated, enacted and experienced. The papers address a diverse range of healthcare contexts - Alzheimer’s disease, neonatal surgery, cardiovascular disease prevention, cancer, addiction (use of alcohol and other drugs during pregnancy), mental health/disorders and medical education – and many tackle issues of contemporary relevance, such as an ageing population, and novel medical interventions and their sequelae. These empirical papers are complemented by a further theoretical contribution, whichconsiders the role of ‘implicit normativity’ in masking and containing potential ethical uncertainty. By mapping themes across the collection, in this introduction we present a number of core analytical strands: (1) conceptualising uncertainty; (2) intersections of uncertainty with aspects of care; (3) managing uncertainty; and (4) structural constraints, economic austerity and uncertainty work. We reflect on the methodological and theoretical stances used to think sociologically about uncertainty in healthcare, and the strengths, silences, and gaps we observe in the collection. We conclude by considering the implications of the insights gained for ‘synthesising certainty’ in practice and for future research in this area