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This is a follow-up to my previous post about the differences between the traditions of integrative, systemsy science. I will use the same –5 to +5 scale as in that post. Negative numbers are not bad but represent people, papers, places, and concepts more to the complex systems / Santa Fe Institute side. Positive numbers […]

Click here to get a PDF of our new review paper about the use of network methods in the climate sciences. It is co-authored by Juan Rocha of Stockholm Resilience Center and myself. Since almost a week it is on hold for moderation at arXiv for unknown reasons, in the meanwhile I’m happy to share […]

(Backward or forward) reachability in temporal networks is a measure of the position of nodes, akin to the centrality measures of static networks. The (forward, or downstream) reachability of a node i is the fraction of nodes that can be reached by time-respecting paths from i at time t, averaged over time from the beginning […]

If you’re a network scientist, or you’ve hung around with one, you’ve probably heard about ridiculograms. It’s a tongue-in-cheek derogative word for plots of huge networks intended to impress by their complexity. I have a vague memory of someone crediting Marc Vidal for coining it. In this blog post, we will explore if they really […]

In this blog post, I will explore why network science is mostly 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 […]

Update May 12, 2020. I rewrote this code in Fortran. 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. […]

I had a lot of help presenting my research by the excellent cartoonist Mi Jin Lee. She is the Ph.D. student of my colleague Beom Jun Kim and a superb scientist too. Here are some of her drawings. Feel free to use them under a Creative Commons Attribution 3.0 Unported License.