• 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.

  • 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!

  • 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.

  • New projects in the pipeline

    I have two new projects on the arXiv, both with only very good friends. The first is a new adaptive network project to describe novel patterns that we found in influenza transmission. The second is a new network analysis algorithm which helps us look at different scales of organization at a glance. We have a lot of cool ideas in the work using this algorithm. Finally, a very interesting ecology project should be online soon. Stay tuned!

  • Almost a year later

    It’s been a while since the last update. Let’s just say I am super excited about many projects started in my first year at the Santa Fe Institute. One of the smaller ones was published a few days ago in PNAS (open-access). The big result: interacting epidemics (or other dynamics) can spread faster on clustered network than on an (otherwise equivalent) unclustered network! SFI had a nice write-up on it.

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