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This article provides some code snippets that can be used to query user data on Facebook via Facebook Query Language. It also describes how to use the Graph URL Scheme if you'd prefer to explore using URLs in your browser and not with code. Very useful for conducting online and virtual ethnographic research that entails Facebook users and communities.

I really like the concept of "scene," as it is applied here. The author uses it to mean the ways groups of people gather in clusters historically, emotionally, and physically. He argues the term avoids the "fetishiz­ing tendencies of subcultural theory". Does it, though? If mapping and analyzing subcultures brings with it a temptation to nail down hierarchies of taste cultures (as in - "my study of zine making shows this is a real zine, that is not" - a temptation that looms even bigger for those of us who try to study our own subcultures), how does scene help us avoid that? Might I be tempted to flash my knowledge of the scene/ being a scenester in ways that produce the same effect? The visualizations help map out the fluid connection between actors and organizations. Describing local fan communities as "a nexus of niches" is tremendously helpful. I'd be interested to see this kind of network analysis applied to online fandoms across platforms. Thinking about the graph though, I'm not sure I need it to understand what he found. It looks cool (and bonus - !science), but I could do just as well without it. If the graph isn't supporting the argument - what is it doing? Final note - I like the choice of the word "patronage" - it may capture something really interesting about the relational and inter-generational aspect of scenes!

yEd is a powerful desktop application that can be used to quickly and effectively generate high-quality diagrams. Create diagrams manually, or import your external data for analysis. Our automatic layout algorithms arrange even large data sets with just the press of a button.

This is another site that can be utilized to differentiate your data from other presentations you might see. Periscopic is a company run out of Portland, and is quickly gaining momentum as a destination for researchers to use to depict their data in a more appealing way than traditional 2-D graphs. This site is different than visual.ly because it is much more focused around scientific research like multi-variable studies, and even more longitudinal research requiring a more expansive visualization. Essentially this is a more professional level research visualization tool, whereas visual.ly is more focused on presentations in creative settings.