A qualitative assessment of communicating spatial concepts in virtual and physical environments via a text-based medium

The pedagogical exercise described here was used to investigate how spatial communication about the manipulation of objects in a virtual and physical space is communicated between remote partners. It continues work done by others. Where it differs from previous research in this area is in its use of a qualitative methodology to study how these types of interactions are structured, communicated and interpreted via text-based media. What emerged from the qualitative analysis are new insights over the previous quantitative investigations. This paper reports on completed research.

A probabilistic switch model of information flow in social networks: Application for virtual circuits to organizational design

Network building and exchange of information by people within networks is crucial to the innovation process. Contrary to older models, in social networks the flow of information is noncontinuous and nonlinear. There are critical barriers to information flow that operate in a problematic manner. New models and new analytic tools are needed for these systems. This paper introduces the concept of virtual circuits and draws on recent concepts of network modelling and design to introduce a probabilistic switch theory that can be described using matrices. It can be used to model multistep information flow between people within organisational networks, to provide formal definitions of efficient and balanced networks and to describe distortion of information as it passes along human communication channels. The concept of multi-dimensional information space arises naturally from the use of matrices. The theory and the use of serial diagonal matrices have applications to organisational design and to the modelling of other systems. It is hypothesised that opinion leaders or creative individuals are more likely to emerge at information-rich nodes in networks. A mathematical definition of such nodes is developed and it does not invariably correspond with centrality as defined by early work on networks.