News
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New NSF grant on network comparison
Joshua Grochow and I were awarded a grant from NSF’s Division of Mathematical Sciences. Our project is titled Network Comparison, a Cornerstone of the Foundations of Network Science. We should start the real work in the next few months, and we aim to come up with model-free tools of network comparison. To quote ourselves: “To break new ground, we must think in terms of structural distance rather than statistical inference.”
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News and Views by Thilo Gross
The always eloquent Thilo Gross wrote a really simple and interesting piece for Nature Physics titled Complex networks: Don’t call in sick. The article covers our recent Nature Physics paper as well as the role of applied network science in general. Highly recommended.
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New paper out in Nature Physics
My new paper, with Sam Scarpino and Antoine Allard, is now out in Nature Physics. Main result: Institutions replacing sick workers who stay at home might be driving the spread of influenza. The paper has been gathering a lot of attention, and I especially like the the news articles from The Irish Times, Pacific Standard, and Nature Microbiology.
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I'll be at NetSci 2016 this summer in Seoul
I’ll be talking about a new voter model project (with Dynamica alumni and Eric Libby) that has been getting a lot of attention here at SFI. I’ll also present the Onion Decomposition in one of the parallel sessions. Jean-Gabriel Young will talk about our recent work on the stochastic block model, Dan Larremore will unveil our secret project on the detection of dominance and influence hierarchies in networks, and Sam Scarpino will talk about our somewhat controversial influenza model.
Should be fun!
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Old friends, new papers
Back from SFI’s Complex Systems Winter School in India where I lecture on statistical physics and network theory. Two new projects were published while I was away: our Hierarchical Preferential Attachment model (with a figure highlighted by PRE) and our most exhaustive and hardcore network ensemble allowing exact solution of bond percolation to date.