Keeping connected: a review of the research relationship

In this paper, some key findings of the Keeping Connected project are discussed in light of the methodological challenges of developing an analytical approach in a large-scale study, particularly in starting with open-ended, participant-selected, digital still visual images as part of 31 longitudinal case studies. The paper works to clarify the methodological and epistemological discussions of the visual data, an issue of great interest in qualitative research and visuality for researchers intent on developing understandings of participatory research methods in the field of youth studies.

Embedding learning in a paediatric hospital: changing practice and keeping connected

This paper, the final paper in the Keeping Connected special issue, presents the key findings of the overall study and focuses on the challenging process of re-imagining a hospital setting as a community of learning for young people in light of these findings. The paper focuses on young people as learners within the overarching themes emanating from the Keeping Connected research such as normalcy, diversity and communication. Taking up Slee's notion of ‘the irregular school’, we describe how one setting in a large urban paediatric hospital in Victoria, Australia, is transforming the way in which children and young people are supported to maintain their connectedness to learning. We reflect on the evidence of the Keeping Connected project to inform the ways in which a hospital can respond to young people's needs as learners and offer a model of inclusion as a form of cultural change in this important out-of-school setting. Directions for future research are also offered.

Trust evaluation for indirectly connected nodes using link community information

Inspired by recent empirical research on link communities, we borrow some important ideas and concepts for our own research to provide a more reasonable computation model of transitive trust. The key advantages of using link community methodology is to reflect on the nature of the social network features of Hierarchy and Overlap. Our research mainly resolves the computation of trust transitivity in which two nodes do not have any direct links to any link community. In this research, we discover a new direction analyzing trust transitivity. By using a social network game, we found that the link community methodology is a natural way to analyze trust in social networks. We also discovered, even in a small social network, trust has certain community features.

Interval-based and fuzzy set-based approaches to modeling of fuzzy inference systems with the local monotonicity property

Even though the importance of the local monotonicity property for function approximation problems is well established, there are relative few investigations addressing issues related to the fulfillment of the local monotonicity property in Fuzzy Inference System (FIS) modeling. We have previously conducted a preliminary study on the local monotonicity property of FIS models, with the assumption that the extrema point(s) (i.e., the maximum and/or minimum point(s)) is either known precisely or totally unknown. However, in some practical situations, the extrema point(s) can be known imprecisely (as an interval or a fuzzy set). In this paper, the imprecise information is exploited to construct an FIS model that fulfills the local monotonicity property. A procedure to estimate the extrema point(s) of a function is devised. Applicability of the findings to a datadriven modeling problem is further demonstrated.