Our paper is out now, in which we proposed an approach to infer the governing equation of complex network dynamics from incomplete and noisy data.

A machine-learning framework predicts when a complex system, such as an ecosystem or a power grid, will undergo a critical transition Read go.aps.org/3Wn4yUF Physics Magazine Viewpoint go.aps.org/4cYVcDY Zijia Liu 茹小磊 Tingting Gao Jack Murdoch Moore Gang Yan

Read my latest #research collaborating with Tingting Gao BarzelLab on #complexsysyems and #networkscience published with Springer Nature in Nature Communications nature.com/articles/s4146…

.Gang Yan TingTing Gao BarzelLab propose an approach to infer the #stochastic differential equations of #complex systems from #experimental data. #GettingApplied nature.com/articles/s4146…

AI can predict tipping points before they happen - Glad to read the news article in ⁦The Economist⁩ about our research work recently published in ⁦Physical Review X⁩ journals.aps.org/prx/abstract/1… economist.com/science-and-te…

The story on our recently published research - predicting the tipping points

AI can help predict when complex systems like the power grid or animal populations will hit a tipping point and abruptly transition to a radically different state. newscientist.com/article/244031…

Happy to share our recent work published in PRL Physical Review Letters - we discovered a geometric scaling law in the fruit fly neuronal networks across different developmental stages. Thanks for the highlight as Editors’ Suggestion and the nice viewpoint Featured in Physics.

Check out the #PRL2024 collection—two papers on Physical Networks! (promo.aps.org/PRL2024) Cory Glover “Measuring Entanglement in Physical Networks” (journals.aps.org/prl/abstract/1…) and Gang Yan's “Geometric Scaling Law in Real Neuronal Networks” (journals.aps.org/prl/abstract/1…).

Happy to share our work just published in PRL Physical Review Letters - statistical inference is a widely used approach to reconstruct the hidden network from error-prone data. We find and prove that degree-heterogeneous networks are more reconstructable by it (than deg-homo counterparts)

Network pharmacology RT Rui Carvalho: Access : Network-Based Approaches in Drug Discovery and Early ... tmi.me/1aT3MR

Nice title :-) RT Complexity Digest: Control of the socio-economic systems using herding interactions | Scoop.it ... tmi.me/1b0FdB

Cool RT Emily G: R package to get citations from Google scholar- gonna try this, potentially a big ... tmi.me/1b7g7R

'cause the porn industry in JP is so advanced that they do not need a real partner RT jabawack: Why ... tmi.me/1b7jo6

Postdoc job in Statistical Physics of Complex Systems, to work with me for 3 years. jobs.manchester.ac.uk/displayjob.asp…

:-)RT Aaron Batalion: OH: Big Data is like teen sex: Everyone talks about it, nobody really knows how, everyone ... tmi.me/1byk9z

Congratulations Mason Porter of Oxford, the winner of the 2014 Erdos-Renyi Prize of Network Science #netsci14 fb.me/1k7IGjZiy

Agree RT Marcel Salathé: This has to be the most beautiful conference poster in the history of ... tmi.me/1ePk4L

the paper finally comes out ... x.com/NaturePhysics/…

finally, it's online... x.com/richardfbetzel…