In this blog post, I will explore why network science mostly is a science of large networks and argue that studying small networks can be just as rewarding and challenging as studying large ones. In other words, a manifesto for small-network science. (But a modest one, because it is not going to be any main […]

This is not a shot at making a side career as a motivational speaker. There are of course tons of more creative people out there, and even science about it! Still, I couldn’t resist writing down my thoughts since I slightly disagree with some of the gurus out there. 😛 1. Be bored   Good ideas […]

I really like computational social science and love to identify myself as a computational social scientist. Having an identity in that sense is perhaps not so important. Through my entire career, I’ve got accustomed to be a [one field] person doing [other field] things, and learned to like it. Still computational social science very much […]

Update July 30, 2018. I just realized that it is not needed to put the recovery events on the heap (stupid me). So I took some time to seriously squeeze out most from this approach. You can find the code at the Github page below. It’s 2-3 times faster now. An N = 10,000, m = […]

If you haven’t heard about Zachary’s karate club, you should probably be careful calling yourself network scientist in the wrong company. It is a small network data set that is used as an example, and benchmark for community detection algorithms. It even has a club! The Zachary Karate Club Club. With a trophy going to […]

A day or two ago Anna Broido and Aaron Clauset arxived a paper about how rare scale-free networks really are. If network science was invented today, I think such a paper would not raise many eyebrows. Now it already got much attention, and I think it looks like a methodologically solid and important contribution. To someone […]

As a follow-up to my post about ten papers that shaped my science, here are ten favorite books. I limit myself to science-themed books, I get inspired by fiction /other non-fiction too. 🙂 Schelling, Micromotives and Macrobehavior, 1978 Many of my fellow computational social scientists have read it (and those who haven’t already, definitely should). […]