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Identifying individuals through network visualizations

Today your reporter will deliver this post live from her new temporary habitat: the laundromat. I was hoping it would never come to this, but the landlord still hasn’t installed pipes for the washing machine. I’ve been postponing this ordeal for over a month now, and my laundry basket simply can’t handle the steady heaps of clothing being catapulted its way anymore. So I stuffed everything into my backpack, trolley, Ikea bag, any big container I own basically, and dragged myself to the nearest facility, with the very deceitful name ‘Happy Wash’. Yet there is absolutely nothing spirit-lifting about sitting in a fluorescently-lit corridor lined with machines shaking and snorting as if they’re about to take off. The owners are obviously of the hippy-dippy retro sort: there’s no Wi-Fi. One might argue that the absence of all technological diversions can be seen as a blessing, as it allows me to fully unleash my literary genius and focus on the task at hand: providing you, dear reader, with entertaining and educational refreshments. But somehow I find that being surrounded by glass doors offering a window into other people’s tighty whities being swirled around oddly discomforting and distracting (though luckily not satisfying). Today’s special is geared toward the prosopographically-minded. As we’ve been repeating for years now, you can’t do social network analysis if you don’t have a decent prosopography. It’s become kind of a mantra. You need to get your data sorted out. Now, while working on Trismegistos is awesome, it does…

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