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This paper highlights the rationale for the development of BioViz, a tool tohelp visualize the existence of collective user interactions in online lifescience communities. The first community studied has approximately 22,750unique users and the second has 35,000. Making sense of the number ofinteractions between actors in these networks in order to discern patterns ofcollective organization and intelligent behavior is challenging. One of thecomplications is that forums - our object of interest - can vary in theirpurpose and remit (e.g. the role of gender in the life sciences to forums ofpraxis such as one exploring the cell line culturing) and this shapes thestructure of the forum organization itself. Our approach took a random sampleof 53 forums which were manually analyzed by our research team and interactionsbetween actors were recorded as arcs between nodes. The paper focuses on adiscussion of the utility of our approach, but presents some brief results tohighlight the forms of knowledge that can be gained in identifying collectivegroup formations. Specifically, we found that by using a matrix-basedvisualization approach, we were able to see patterns of collective behaviorwhich we believe is valuable both to the study of collective intelligence andthe design of virtual organizations.

Visualizing Collective Discursive User Interactions in Online Life Science Communities