In continued celebration of a decade of GW detections, some of the @vanderbilt.edu astrophysicists made this fun explainer video. We had a great time making this; just the right amount of cheesy delivery. My students have already gotten a kick out of it. www.youtube.com/watch?v=bmkt...

A new detector concept using optical cavity and atomic clock technologies enables gravitational wave detection in the milli-Hertz range, expanding access to previously unobservable cosmic events. doi.org/g95n5p

Great to see more papers published this week including 'Accelerated inference of binary black-hole populations from the stochastic gravitational-wave background' from Giovanni Giarda, Arianna I Renzini, Costantino Pacilio and Davide Gerosa iopscience.iop.org/article/10.1...

Classical and Quantum Gravity @ioppublishing.bsky.social is celebrating the 10th anniversary of the first Gravitational Wave detection with a focus issue guest edited by Katerina Chatziioannou and Peter Shawhan: iopscience.iop.org/collections/...

Delighted to share this Editorial article by our Editor-in-Chief, Professor Ginestra Bianconi @gin-bianconi.bsky.social , celebrating 5 years of Journal of Physics Complexity!

Celebrating the 5th anniversary in of Journal of Physics: Complexity: ow.ly/PqWk50WP5nu Read the newly published Editorial by our Editor-in-Chief, Professor Ginestra Bianconi (‪@gin-bianconi.bsky.social‬) Highlighting the key role of #ComplexSystems research in #Physics and #Science in general.

Celebrating the 5th anniversary in of Journal of Physics: Complexity with the publication of this Editorial by our Editor-in-Chief, Professor Ginestra Bianconi @gin-bianconi.bsky.social 5 years of Journal of Physics: Complexity doi.org/10.1088/2632... @ioppublishing.bsky.social

Hot off the press! Calling all #Medical, #Clinical, #Biological, and #HealthScience researchers! Are you interested in the development and application of #MachineLearning and #ComputationalMethods in your field? Read our first issue, for the latest scientific developments: ow.ly/wwwX50WCCXq

Hooray for #MachineLearningHealth! 🤩 Check out our first issue, which includes a #dataset article as well 👏 💊

J. Phys. Complex.: Keep the bees off the trees: the vulnerability of species in the periphery of mutualistic networks to shock perturbations http://iopscience.iop.org/article/10.1088/2632-072X/ade927

I'm pleased to share this new Review in Classical Quantum Gravity - 'Gravitational wave tails from soft theorem: a short review' by Ashoke Sen iopscience.iop.org/article/10.1...

🔍 New insights into reservoir computing! Tuning the activation function can extend the forecast horizon by an order of magnitude. Curvature matters more than you think. Read here👉 bit.ly/44MgPF4 Researchers from @colorado.edu #MachineLearning #ReservoirComputing #TimeSeries #ComplexNetworks

Another recently published article in JPhys Complexity, 'Keep the bees off the trees: the vulnerability of species in the periphery of mutualistic networks to shock perturbations' by Lukas Halekotte, Anna Vanselow and Ulrike Feudel iopscience.iop.org/article/10.1...

Excited to share this new paper in JPhys Complexity from @abovet.bsky.social @lambiotte.bsky.social @nicopedre.bsky.social 'Community detection on directed networks with missing edges' iopscience.iop.org/article/10.1...

Check out Zihao's new paper below! We have a close look at geographical inequalities in timetabled journeys by bus in England, and uncover how travel time variability affects different areas of England. Lots more to come on this!

Excited to share this new paper in JPhys Complexity looking at geographical inequalities in access to UK healthcare by @fedebotta.bsky.social @zihaochen.bsky.social iopscience.iop.org/article/10.1...

Information Propagation in Gaussian Processes on Multilayer Networks, out in Journal of Physics: Complexity - we show how timescales allow different layers to share information with one another by studying Gaussian processes on general multilayer networks iopscience.iop.org/article/10.1...

I've been guest editing a focus issue for Journal of Physics: Complexity with @jgyou.bsky.social, @gcant.bsky.social, and Cate De Bacco on Statistical Inference and Machine Learning for Complex Networks. See iopscience.iop.org/collections/..., and feel free to get in touch with any questions!

Reminder that our focus issue "Urban Mobility and Green Transportation in Sustainable Cities" in Journal of Physics: Complexity is open for only 2 more months! 👉 https://iopscience.iop.org/collections/jpcomplex-231012-387

Complex networks pose unique challenges for statistical inference and machine learning. Explore and submit innovative methods to tackle these high-dimensional, strongly correlated systems in our focus issue! iopscience.iop.org/collections/... 🧪 ⚛️ #Complexity #networkscience

This editorial stands as the most widely read article in the Journal of Physics: Complexity. We offer a comprehensive and multifaceted perspective on the realm of complexity science. This open discussion can inspire future research on complex systems.

"Synthetic graphs for link prediction benchmarking", new paper with Alexey Vlaskin, published in the Journal of Physics: Complexity https://doi.org/10.1088/2632-072X/ada07f

Published in the Journal of Physics Complexity: "Strength of minority ties: the role of homophily and group composition in a weighted social network" with Denis Boyer, Sandra Smith & Gabriel Ramos. Open Access: iopscience.iop.org/article/10.1...

J. Phys. Complex.: Implementing semiclassical Szegedy walks in classical-quantum circuits for homomorphic encryption http://iopscience.iop.org/article/10.1088/2632-072X/add3aa

J. Phys. Complex.: Global Topological Dirac Synchronization http://iopscience.iop.org/article/10.1088/2632-072X/add0fe

Pleased to share this new paper as part of JPhys Complexity's 'Focus Issue on Statistical Inference and Machine Learning for Complex Networks'. Follow the link to read the published papers, and for information on contributing an article iopscience.iop.org/collections/...

J. Phys. Complex.: Assessing the interactions between time series signals using weighted horizontal visibility graphs http://iopscience.iop.org/article/10.1088/2632-072X/add3a8

J. Phys. Complex.: Active travel modelling: a methodological approach to networks for walking and cycling commuting analysis http://iopscience.iop.org/article/10.1088/2632-072X/add257

Great to see this new article as part of our 'Focus Issue on Urban Mobility and Green Transportation in Sustainable Cities' being shared. See all the articles here: iopscience.iop.org/collections/...

J. Phys. Complex.: Optimizing taxi operations in Shanghai for reduced idle time and greener transportation: a spatiotemporal analysis using trajectory data and complex networks http://iopscience.iop.org/article/10.1088/2632-072X/ade354

Fantastic collaboration with @teo121270.bsky.social L.Giambagli R.Muolo "Global Topological Dirac Synchronization": Unveiling new dynamical states of higher-order networks with the Topological Dirac operator. iopscience.iop.org/article/10.1... @ioppublishing.bsky.social

Join our publisher, Dillon Eastoe, at @netsciconf.bsky.social 2025 for our workshop on 'How to Get Published'. You can learn some practical tips on getting your work accepted for publication. All speakers: netsci2025.github.io/speakers/

Looking forwards to presenting at NetSci on 3 June. If you're an Early Career Researcher attending the conference, it would be great to see you there #netsci2025

J. Phys. Complex.: Spatio-temporal activity patterns induced by triadic interactions in an in silico neural medium http://iopscience.iop.org/article/10.1088/2632-072X/adbf5e

J. Phys. Complex.: Epidemic risk perception and social interactions lead to awareness cascades on multiplex networks http://iopscience.iop.org/article/10.1088/2632-072X/adb897

J. Phys. Complex.: Time-varying synergy/redundancy dominance in the human cerebral cortex http://iopscience.iop.org/article/10.1088/2632-072X/adbaa9

J. Phys. Complex.: Computation in chemical graph rewriting networks http://iopscience.iop.org/article/10.1088/2632-072X/adb7b1

J. Phys. Complex.: Risk aversion can promote cooperation http://iopscience.iop.org/article/10.1088/2632-072X/adb234

J. Phys. Complex.: Statistical measure of dispersity in complex weighted networks of low temperature plasma chemistry http://iopscience.iop.org/article/10.1088/2632-072X/adc35e

J. Phys. Complex.: Network analysis of memristive device circuits: dynamics, stability and correlations http://iopscience.iop.org/article/10.1088/2632-072X/adb11e

J. Phys. Complex.: Effective dimensional reduction of complex systems based on tensor networks http://iopscience.iop.org/article/10.1088/2632-072X/adc650

J. Phys. Complex.: Noisy deep networks: chaos, multistationarity, and eternal evolution http://iopscience.iop.org/article/10.1088/2632-072X/adcdb4

J. Phys. Complex.: At the end of the spectrum: chromatic bounds for the largest eigenvalue of the normalized Laplacian http://iopscience.iop.org/article/10.1088/2632-072X/adcc71

J. Phys. Complex.: Global Topological Dirac Synchronization http://iopscience.iop.org/article/10.1088/2632-072X/add0fe

Today we explore the computational power of double-pushout (DPO) graph rewriting on chemical graphs and show it can simulate Turing machines and 2-tag systems using polymeric graph tapes. Read the full paper here: bit.ly/43ik7iD #MachineLearning #ComplexSystems

The 2025 Euler Award in Network Science goes to Ginestra Bianconi! @gin-bianconi.bsky.social 👏

Great to see JPhys Complexity board members János Kertész and Renaud Lambiotte amongst those recognised

Pleased to share a new paper in JPhys Complexity's 'Focus Issue on Urban Mobility and Green Transportation in Sustainable Cities', by Guest Editor Ruiqi Li #complexnetworks #complexsystems #networkscience iopscience.iop.org/article/10.1...

Check out JPhysB's recent retrospective collection 'Celebrating the 2023 Nobel Prize in Physics', featuring articles by the Laureates Ferenc Krausz, Anne L'Huillier and Pierre Agostini, and a new Perspective by Pierre Agostini iopscience.iop.org/journal/0953...

Our podcast guest this week is the Nobel laureate Ferenc Krausz, who explains how his cutting edge research could be applied to disease detection. 🧪⚛️ ow.ly/ciwI50VLj8Z