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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 […]

(This is a light-hearted and ill-researched post. When the infinite amount of free time I ordered on Amazon finally arrives, I might dig into it deeply and be serious.) Everyone who tries to read widely about systemsy stuff will inevitably feel puzzled by the large-scale flow of ideas. In particular, there is a—sometimes crystal clear, […]

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 […]

Yesterday a paper by Mason Porter, Hiroki Sayama, and myself was published in Frontiers for Young Minds. It attempts to present network centrality to the Frozen generation. In the spirit of data sharing, you can find the raw data below. It is the undirected network of who talks to whom and how many lines they […]

June 21, that authors of the General Network Dismantling paper sent me a reply with their comments on this blog post. You can read it here. I will comment on it later.   This post is about some recent experiences and thoughts of reproducing the computational results of a paper. Thoughts about computational reproducibility Reproducibility […]

I revised this post after comments from Urska Demsar, Travis Gibson, Des Higham, Mason Porter, Max Schich, Jan Peter Schäfermeyer, Johan Ugander, and Jean-Gabriel Young. Thanks! Our field is interdisciplinary, and many smart people have been thinking about similar things. No wonder things get reinvented and rediscovered many times. I don’t think science is a […]

One of the problems network science sets out to solve is to find important nodes. Of course, what is important depends on the context, but an applied scientist coming to network science for an answer probably has a clear idea of what it means in her study system. There is no shortage of methods in […]

This is a comment on the recent arxiv by Voitalov, van der Hoorn, van der Hofstad, and Krioukov titled Scale-free networks well done, and the ongoing debate of scale-free networks. As usual, I take a laid-back spectator position—no papers, no research of my own, just another blog post of my personal reading of this contribution […]

In one of my first network projects, as a student, I studied how networks break down when you remove edges in order of their betweenness. Simultaneously, Girvan and Newman used precisely the same approach to make the first modern community detection algorithm. This was before authors used to make their code publicly available, so when […]