I remember back in the days of HTML 1.0 or 2.0, they suggested not using the words "click here" in a link since some day you might be able to indicate other ways of following a link besides clicking (or you could already through non-graphical browsers). I think this is the first time I've seen "tap here" when I had to click. It was kind of a weird feeling, like I was pretending to tap by clicking. But my point is "tap here" and "keep tapping" is just as incorrect as "click here."<p>And as Donald Norman would point out, you shouldn't have to put instructions on your interface telling people how to use it (e.g. "push" and "pull" on doors).<p>It seems that everyone who uses this site to create a presentation is going to have to put "tap here" and "keep tapping" on the first two slides to get anyone to understand what's going on.<p>It looks like I wasn't the only one confused by the user interface. Losing the ability to go back and forward is also kind of annoying (tried right click).
That was actually a really cool presentation. Are there any papers out there for someone who is interested in segmenting data like that?<p>Also, on the topic of "LOL", and the related acronyms, I think this little cartoon explains it well: <a href="http://www.27bslash6.com/lol.jpg" rel="nofollow">http://www.27bslash6.com/lol.jpg</a>
Slightly off topic, but the font used in the slides is Vollkorn:<p><a href="http://friedrichalthausen.de/vollkorn/" rel="nofollow">http://friedrichalthausen.de/vollkorn/</a><p><a href="http://www.google.com/fonts/specimen/Vollkorn" rel="nofollow">http://www.google.com/fonts/specimen/Vollkorn</a><p>I figure there are some designers or people interested in typography that might appreciate this information. It was rather easy to eyeball due its strong and distinct serifs at large point sizes, although the stylesheets verify it as well.<p>Even more off topic: you'll also find that Vollkorn is one of the fonts available for use in the Google Play Books app on Android. If you use Google Play Books, I recommend trying it out. It's a fantastically readable font, especially white-on-black, for late night readers like myself.
Took me a while to figure out it was more than a gif.... on hacker news. Eventually I clicked and figured out it was a slideshow. Is it possible to go back a slide?
Welp, I admit it. I'm finally too old to use the Internet. I tried clicking the "tap here", but that didn't do anything. I have a touch-enabled tablet, and I tried tapping there. That didn't do anything either. Then I gave up.<p>Why does my VCR blink 12:00 all the time, anyway?
I worked on a project with a guy who did network analysis like this. It was pretty cool... the first three times. After that it seemed like every problem had to involve a whizbang graphic - then I realized he didn't actually know how to program at all. His whole job was 'analysis', which was using Tableau and a graph partitioning program to produce visualizations (pretty much using the defaults), and then try to explain what they meant.<p>I was kind of in awe that this was a whole job by itself - I've never really seen an analysis of one of these graph diagrams that wasn't really superficial, like the examples in this presentation. It kind of makes me wonder if the "complexity" of the graph visualizations doesn't cow the viewer a bit, and make them more impressed by subsequent, not-super-interesting insights. I'd be interested in a comparison with and without the graphics.
From Wikipedia:<p><i>Modularity is one measure of the structure of networks or graphs. It was designed to measure the strength of division of a network into modules (also called groups, clusters or communities). Networks with high modularity have dense connections between the nodes within modules but sparse connections between nodes in different modules. Modularity is often used in optimization methods for detecting community structure in networks. However, it has been shown that modularity suffers a resolution limit and, therefore, it is unable to detect small communities. Biological networks, including animal brains, exhibit a high degree of modularity. A 2013 paper shows that modularity in biological networks may have evolved due to selection pressures to reduce connection costs.</i><p>Paper on Modularity Maximization algo to identify communities in graph is at <a href="http://www-scf.usc.edu/~gaurava/modularity.pdf" rel="nofollow">http://www-scf.usc.edu/~gaurava/modularity.pdf</a><p>There are many other ways to cluster the graph.
Bit annoying that they took the name of a startup I used to work at:<p><a href="http://www.tapestry.net/" rel="nofollow">http://www.tapestry.net/</a>
"Interesting" visualizations. Could someone without an understanding of lol and funny create this? Visualizations, in this context, show what you already knew to be true. How well can it be used to find something new, instead of novel?
Le sigh. All of the comments are on the UX of the site, and not the content of the article. Come on guys.<p>This article was really interesting to me (though obviously he doesn't get terribly into depth). I find data vis like this, whether it be super meaningful or not to be really cool. I'd like to see more analysis like this done with it.