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Android: Netrunner» Forums » Strategy

Subject: Applying a Little Data Science to Netrunner rss

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Scott Orr
United States
Springfield
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A couple of years ago, as a project for an online class, I conducted a social network analysis of Netrunner decks posted online, with the object of finding which cards tended to occur together.

Since then, I've lost interest in the game, probably partly because I never won a single round (actually, that usually makes me want to play a game more), but probably mostly because I can't be bothered to re-do all my strategies once a month when new expansions are released. (But that's an aside--please, this isn't a troll...read on.)

I'm posting links to GitHub repositories for my original project (using R and Gephi), and to a second version I started a year later, but never finished. If anyone finds this useful and would like to pick up the work, I'd love to hear about it.

The links:
https://github.com/MTKnife/Netrunner-Social-Network-Analysis
https://github.com/MTKnife/Netrunner-Social-Network-Analysis...
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Clyde W
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Dist of Columbia
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Awesome! Will definitely check out!
 
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kleo xeon
Cyprus
nicosia
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I'll definitely check it out as well. This could be key to pick out commonly used cards and build a cube draft algorithm.
Cool
 
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sb so
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Well, did you?
 
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sb so
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I am not the first one who bumps, but is there any new information about A:NR-cubes?

My own 1on1 cubes work fine, for short and (as said) 1on1 games. But maybe there might be more depth to it.
 
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