📖New paper featured in @NatureComms ! Many THX again to @MConstanceCorsi and @F_DeVicoFallani for their trust and commitment in the project. Would you take a hint of darkside in your multilayer networks ? 👇

I now hold a #phd from @Sorbonne_Univ_ ! Thanks to all my colleagues at the @AramisLabParis for this wonderful PhD journey. Link to the thesis manuscript: Stay in touch for the next steps of my academic journey 📖!

Let us explore together the dark side of multilayer networks at 3.45 pm (HS 1 - Network structure) under the sun of Vienna - contributed talk !☀️ @netsci2023 @F_DeVicoFallani #talks #multilayer

Which description best discriminate MEG activity of Alzheimer's disease patients as compared with the healthy controls one ? 🧠 The dark side seems promising in this way. How about we explore it further ?🧐

One week ago, the in-person @APSMeetings 2023 ended. Warm thx to all of the organizers and volunteers that made it possible. Special thx to @GuidoCaldarelli for chairing the session where I presented. Lots of new ideas to explore, now ! #APSMarch2023 #Physics #Science #Networks

Make sure to be present in Room 125 @APSMeetings for a Focus session on Network Theory and Applications. My talk on node-layer duality in multilayer networks is expected at 9:36 a.m PT. See you there ! #apsmarch #physics #network

DAY 24 - "The structural neural substrate of subjective happiness", Wataru Sato et al., Sci. Rep. (2015) Last candy from the advent article event. Where is located the subjective happiness? Thx for following this 1 month journey ! Merry Xmas !🎄 Cheers !

For the scientific, technical reading aficionados, why not reading the following article by Ju-Hyun Lee et al., Nat. Neurosci. (2022) ? /end

, train graduate student to replicate studies, update online publications to mention if results were replicated. - Anyway moving beyond p values is simply about a paradigm shift in science activities (way beyond p values) - Will it (bayesian) update your science practices ? /end

- No blind applications of network metrics especially in deriving null models and again, assess uncertainties on them - (Aside) Validate method on synthetic data. - Bayesian inference can endorsed the role of a principled based "common language" of network scientists. /end