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 The reproducibility […]
Category: Algorithms
Community detection: A consumer’s voice
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 […]
The art, sport and science of network-epidemic algorithms
The other day, four Québécois gentlemen put out an arxiv preprint about one of my favorite topics*—algorithms for network epidemiology. In this blog post, I will try to lure you into: (1) Reading their manuscript. (2) Thinking about network-epi algorithm design. (3) Using my code for SIR (and theirs for SIS). *As a problem-solving exercise, […]
Crazy fast code for SIR on temporal networks
Now I turned this blog post into a paper. This is a follow-up to my post a couple of days ago about all the nitty-gritty when coding up a compartmental model for empirical temporal networks. I guess the question lingering is: How do you do it then? There are a very straightforward way and an […]
Getting down to the brass tacks (of SIR on temporal networks)
Now I turned this blog post into an arXiv preprint: https://arxiv.org/abs/2007.14386 Here, I will discuss some technical issues of compartmental models in general, and the SIR model in particular, on temporal networks. These are things that feel a bit too off-topic to even bother readers of papers, but everyone into network epidemiology needs to consider […]
The man-machine battle moves beyond the board
Korea is, in general, a TV-friendly country. Regular restaurants have sets continuously showing soap operas, news, or reality shows. The surprise for the last two days was that my lunch restaurants were showing a board game. Students all over campus were watching it too. Baduk (a.k.a. go) is quite popular TV entertainment, but very niched […]
Petter Holme 