
Reader in Applied Mathematics @QMUL, Chair https://xitter.cf/t.co/1wtfI9jv7F, 2024-26 Turing Fellow @turinginst. Network Science, Data Science, and Digital Epidemiology
London, England
Joined November 2011
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NetScience retweeted
The NetSci 2027 Call for Abstracts & Satellites is here!
netsci2027.github.io/calls/a…
Submit your boundary-breaking research and join us in Dresden 🤩🚀
Abstract deadline: 1 Dec 2026
Satellite proposals: 15 Nov 2026
Conference: 18–21 May 2027
We just released Gephi Lite v1.1 🚀
The @ouestware team worked hard on geographic projection, color palettes and layout experience. Give it a try and have a look at their report on our blog: gephi.wordpress.com/2026/10/…
arXiv has updated our policy on rate limiting for all submitters.
This update was made to fairly distribute moderator time & support the arXiv community of staff, volunteers, readers & authors.
Please read our announcement to learn more: blog.arxiv.org/2026/10/01/up…
NetScience retweeted
I wrote a book on spatial networks, using Python, networkx, and osmnx
Online version can be found here:
bgu-geography.com/net/
Comments and ideas are welcome!
NetScience retweeted
Excited to share our new paper in Science: “Disorder-promoted stability.”
It shows when heterogeneity across nodes—or interactions—can make complex networks more stable, with implications for ecosystems, power grids, materials, and beyond.
science.org/doi/10.1126/scie…
NetScience retweeted
Introducing: Time Machine Experiments 🚀 ⏳
in which participants 'travel' to the past, and interact with a mind from the year 1930 (simulated by an AI with knowledge cut-off).
Preprint: arxiv.org/pdf/2609.15468
This is an example of what we recently called "Science Fiction Science" (Sci-Fi-Sci)
Led by our @Max_Planck_CHM member @hiromu1996 @schimmelrob and Ezequiel Lopez-Lopez, together with @LevinBrinkmann Alejandro H. Artiles and Jean-Francois Bonnefon @azimshariff
Gephi 0.11.3 released. Read the note here: github.com/gephi/gephi/relea…
NetScience retweeted
Applications for the 2027 Santa Fe Institute Complexity Postdoctoral Fellowships are open. Collaborate with researchers from around the world. Chart your own transdisciplinary path.
With a competitive salary, discretionary research and travel funds, and a generous benefits package including paid family leave, the fellowship offers early-career scholars the opportunity to become leaders in transdisciplinary research.
Deadline: September 30, 2026
Requirements & application: santafe.edu/sfifellowship
NetScience retweeted
New paper! When AI agents interact, the group can settle on outcomes none of its members would choose alone. And group size can determine which outcome wins. So a model that passes every test on its own can still go wrong at scale.
pnas.org/doi/10.1073/pnas.25…
NetScience retweeted
A beautiful example of an "optimal stopping problem" – Feynman's restaurant problem – with a great backstory behind it. This is a fun, well written article, and a fun math problem too.
doi.org/10.1073/pnas.2509612…
NetScience retweeted
PhD opportunity at SUMOC (Sorbonne Université | INSERM), Paris, within the EPIcx lab.
🦠 Project: SPILL-AI (mobility data, AI, epidemic modeling)
⚠️ Selected candidate will be submitted to competitive funding (SCAI)
Apply by April 12, 2026
epicx-lab.com/open-position-…
NetScience retweeted
Two postdoc positions open at SUMOC (Sorbonne Université | INSERM), Paris, within the EPIcx lab.
🦠 Network epidemiology of healthcare-associated infections (ARCANE)
🧠 Coupled behavior–disease modeling (PREVIX)
2-y positions | Start June 2026
#epidemiology #networks #matrices
NetScience retweeted
Excited to announce 𝗨𝗹𝗿𝗶𝗸 𝗕𝗿𝗮𝗻𝗱𝗲𝘀 as an Invited Plenary Speaker at @NetSci2026! ✨ A leader in social network science & visualization, his work includes more recently sports analytics using network-based approaches to football. netsci2026.com/speakers
NetScience retweeted
Great second day at the #EPICONTACTS2025 workshop — engaging talks at the interface of contact matrices, epidemiology, behavioral data, and network science.
This initiative is part of FRAME, the French Research Action on Modeling Epidemics supported by @agenceANRS
International Workshop on Social Contacts for Epidemic Modeling
Paris, Dec 8-9, 2025
epicontacts2025.weebly.com/
@agenceANRS
NetScience retweeted
✨ Thrilled to announce 𝗠𝗼𝗼𝗻 𝗗𝘂𝗰𝗵𝗶𝗻 as a NetSci 2026 Plenary Speaker! A leading mathematician at UChicago, Moon works at the intersection of geometry, computation & democracy, building data-driven tools to understand voting systems.
More: netsci2026.com/speakers
NetScience retweeted
⏰ 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲: 𝗗𝗲𝗰𝗲𝗺𝗯𝗲𝗿 𝟭𝟵!
NetSci 2026 abstract submissions close soon — don’t miss your chance to share your work with a global network science community.
📅 Submit by Dec 19
🔗 netsci2026.com/call-for-abst…
NetScience retweeted
✨ Excited to announce 𝗬𝗼𝗻𝗴-𝗬𝗲𝗼𝗹 (𝗬𝗬) 𝗔𝗵𝗻 as a NetSci 2026 Plenary Speaker! A leading network and data scientist, YY explores how complex systems shape behavior, cognition, and discovery. For more speaker updates: netsci2026.com/speakers
NetScience retweeted
𝗗𝘂𝗻𝗰𝗮𝗻 𝗪𝗮𝘁𝘁𝘀 & 𝗦𝘁𝗲𝘃𝗲𝗻 𝗦𝘁𝗿𝗼𝗴𝗮𝘁𝘇 will give their first-ever 𝗷𝗼𝗶𝗻𝘁 𝗸𝗲𝘆𝗻𝗼𝘁𝗲 at NetSci 2026! Don’t miss this rare conversation between two pioneers!
Call for abstracts: tinyurl.com/3tbj2v83
Call for satellites: tinyurl.com/42sru6kz
NetScience retweeted
CNRS tenure track on "Dynamics and collective decisions" at the interface between statistical physics and social sciences. One of the potential hosting laboratories is the Centre de Physique Théorique in Marseille.
emploi.cnrs.fr/Offres/CPJ/CP…
NetScience retweeted
People help people with a reputation for helping others, but the same reciprocal norms do not extend to bots. An experimental study shows that people do not believe bots deserve help, even bots with a reputation for helping others. In PNAS Nexus: ow.ly/lW2c50W0U7k

ALT Visual representation of network structures used in a chain reciprocity study, from the perspective of a participant in the A position. The baseline condition (left) shows four human figures, though two are bots, which participants were unaware of. In the hybrid condition (right), participants knew they were paired with two bots and one human, and the bots’ positions were disclosed. Both conditions involved identical underlying structures but differed in participants’ awareness of bots.



























