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Category: Gephi

Gephi timeline: the pimped out version

Random introduction (no Gephi timeline) Ok, finally got over mourning Dumbledore a little, and I have to confess: the new James Bond trailer helped BIG TIME. I’ve gotmixed feelings about this one though. Well, just one major bummed feeling, actually. Because this is probably Daniel Craig’s last Bond movie. But! But, but, butt! Booty. Ass. Derrière. Cheeks. Fart. Eine feuchter Furz. There. Now I can finally use that expression. So, back to Bond (I bet his farts smell like expensive cologne. Not sure if that’s a good thing though). If you think about it, this is going to be THE ultimate movie. Now, I don’t know if many people who saw the last one really grasped what was going on there. Everyone was so focused on Silva and how in the end Bond fails and M gets killed anyway (oops, perhaps I should have added a ‘spoiler alert’ at the beginning again…), that they missed the developments that really matter. But, as is so often the case, Silva was actually just another straw puppet, a minuscule link in a master plan genially devised by no other than our very worst enemy and nightmare: VOLDEMORT. You fools! He-Who-Must-Not-Be-Named was not killed by Harry Potter! ‘But he burst into little bits of charred paper at the end of the last movie’. Balderdash! Voldemort isn’t stupid! With all his Horcruxes destroyed and a jittery Elder Wand, he knew it would be reckless to face Harry again. So he did a neat disapparating trick…

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Gephi Timeline Basics

*SPOILER ALERT* Don’t read this if you haven’t read Harry Potter yet! But in that case: shame on you! My dearest Kartoffelköpfchens, These last months, this jetsetter has been travelling the world, spreading the word of our spaghettilicous Overlord, from Paris to Padua to Florence (Ok, I admit, that’s not really impressive on a global scale… But you can’t blame me for all those trips to Italy: it’s pasta heaven over here!). But with summer almost over, I think it’s time to remind you beach bums and party addicts that there’s more to life than tans, summer flings and alcohol. Networks in particular, of course, cuz that’s what we’re here for. A while back, a waaaay big whale of a while back (I saw a whale once. On a boat trip off the coast of Boston. Was sick to the bones. Two weeks ago I saw a dolphin. On a boat trip off the coast of Ireland. Was sick to the bones. Coincidence? Yeah, why not), I told you I was playing around with Gephi’s timeline feature. We’ll, today I’m gonna show you how that works, because it’s an indispensible feature for any historian who’s into serious network analysis.   Gephi Timeline Basics To activate Gephi’s timeline, you need a nodelist and an edgelist, just like for a static network (if you’re not sure how that works anymore, check out this post on the basics of Gephi). All you need to do actually, is add a time interval to both.…

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Where do data ninjas go for help?

Where do DataNinjas go for help against that unbeatable foe called Gephi? That’s right, they ask online and wait for other ninjas to come to the rescue! They then ask them to write a guest post on their award winning blog. I am Sir Simon of Gephi and I nobly answered just such a call-to-arms. Aside from being Silke’s occasional tech support, I also own the complete Adventures of Tintin and an Iron Age spear, so I have all of the relevant Belgian/classicist credentials to be here (also I’m working on a PhD that involves crime and SNA or some such nonsense). For a slightly different approach to spaghetti monsters to the usual DataNinja stuff, I’m going to highlight how to construct networks from twitter and tell the tale of a trip to a pub with some digital classicists… Twitter digital classicist network After helping Silke cure about a 1000 errors that were occurring when data was imported into Gephi, she was kind enough to invite me along to a Digital Classicist lecture at King’s to see what sort of thing is going on in the DC field. There was a jolly interesting talk given by Leif Isaksen and Elton Barker about the Pelagios project and Recogito, and perhaps even more interesting to someone interested in spaghetti monsters, people were being encouraged to use #DigiClass to interact with the presentation. Twitter digital classicist network: Nodexl There are various tools which can be used to gather this data, my personal preference…

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Multiple edge types in Gephi

Ok, I know it’s summer, most of you are taking a well-deserved break, and there are a lot more fun things to do than dealing with networks. For those of you nodding fervently in agreement: shame on you! A plague on all your houses! Except Gryffindor, I’m in that one. And no, I didn’t just pick that one because Harry Potter‘s in it. I got sorted, the proper way. At You should really try it, it’s so much fun!   Anywho, I recently got a cry for help concerning Gephi, and I thought: there may be more lost souls out there, struggling to get this right. So here’s the pickle: can you visualize different types of edges in Gephi?   Not all your relationships are the same: you don’t hang with yo brudda of da same mudda in the same way as you do with your bros, and you don’t treat them the same as your hos. Like chicks before dicks, ya know? This was already true 100, 200, 500, even 1,000 years ago. People had family (through descent as well as marriage: sometimes it’s useful to distinguish between the two), friends, colleagues, superiors, inferiors, extraterrestrial acquaintances, … . Or you might want to look at different kinds of interactions between individuals: who writes/ lends money/ sells a slave/ … to whom, whatever, you name it! Although you’ll probably end up filtering your networks according to specific types of relations anyway, it’s not a bad idea to start out with the complete picture, to…

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DataNinjas = read.csv(“software.csv”, head=T, sep=”;”, na.strings=na) (3)

[Recap: There’s tons of software out there to help you with your calculations, correlations, transformations, permutations, visualizations, … (here we go with the –ations again! Seriously! Maybe I should make a network out of them). There are all-rounders, like UCINET, some focus more on the numbers (such as R), others (Gephi for example – this post is exactly about that: a Gephi Tutorial) are geared toward those who like fancy spaghetti monsters (guess who?!). If you’re working with really large, or even HUGE data, Pajek’s your cup of tea, although it works just as well for small networks. There’s no such thing as “the best” program to work with, although everyone probably has a favorite. Gephi is our top choice, not just because of the fancy schmancy visuals, but also because it’s very user-friendly. When it comes to metrics, however, it’s pretty limited. For those, I turn to UCINET, while Silke gets her kicks in R. Why? No idea. The fact that she took the introduction course to SNA & R and I the equivalent for UCINET at last year’s Sunbelt in Hamburg has nothing to do with this of course. Anywho, over the next couple of posts we’ll let you know what we think of some of the major software programs, with tips ‘n tricks to help you out. If you have any questions, Google it, for cryin’ out loud, that brain of yours is there for a reason! Just kidding, we’re happy to help if we can. Not.…

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