NetScience
@net_science
Followers
10K
Following
961
Media
557
Statuses
16K
Reader in Applied Mathematics @QMUL, Chair https://t.co/1wtfI9iXi7, Turing Fellow @turinginst. Network Science, Data Science, and Digital Epidemiology
London, England
Joined November 2011
Non-pharmaceutical interventions during the COVID-19 pandemic: A review (pre-proof) out in Physics Reports!
6
37
88
The microscale organization of directed hypergraphs
arxiv.org
Many real-world complex systems are characterized by non-pairwise -- higher-order -- interactions among system's units, and can be effectively modeled as hypergraphs. Directed hypergraphs...
0
4
18
Beyond MMD: Evaluating Graph Generative Models with Geometric Deep Learning
arxiv.org
Graph generation is a crucial task in many fields, including network science and bioinformatics, as it enables the creation of synthetic graphs that mimic the properties of real-world networks for...
0
0
2
Latest out in: Controlling the spread of deception-based cyber-threats on time-varying networks. Great collaboration with @gozzi_nicolo. https://t.co/k6IQiMWr9Z
0
2
7
Inferring structure and dynamics of multiplex networks from single-type observations
journals.aps.org
Multiplex networks provide a fundamental framework for representing systems with multiple types of interactions, which are widely applied across physics, biology, and social sciences. Reconstructing...
0
4
14
Strict Universality of the Square-Root Law in Price Impact across Stocks: A Complete Survey of the Tokyo Stock Exchange
journals.aps.org
Analysis of a large dataset from the Tokyo Stock Exchange validates a universal power law relating the price of a traded stock to the traded volume.
0
1
5
From Nodes to Edges: Edge-Based Laplacians for Brain Signal Processing
arxiv.org
Traditional graph signal processing (GSP) methods applied to brain networks focus on signals defined on the nodes. Thus, they are unable to capture potentially important dynamics occurring on the...
1
0
7
Measuring Online Behavior Change with Observational Studies: a Review
arxiv.org
Exploring online behavior change is imperative for societal progress in the context of 21st-century challenges. We analyze 148 articles (2000-2023) focusing on behavior change in the digital space...
0
4
18
Global stability of epidemic models with uniform susceptibility
pnas.org
Transmission dynamics of infectious diseases are often studied using compartmental mathematical models, which are commonly represented as systems o...
0
0
3
Modeling multistability and hysteresis in urban congestion spreading
0
0
1
Progress is not linear, and neither is the journey from prop eval to live trading. The shift from a controlled evaluation to real-risk trading requires more than technical skill. It demands a stronger mindset, tighter risk management, and ongoing self-assessment. This handy
2
3
18
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 https://t.co/YcBGDBFx4F
@agenceANRS
1
2
7
Prediction and inference in complex networks: a brief review and perspectives
arxiv.org
Inference and prediction are fundamental to the study of complex systems, where network data are often incomplete, inaccurate or obtained indirectly. In this paper, we review recent advances in...
0
1
9
Random time-shift approximation enables hierarchical Bayesian inference of mechanistic within-host viral dynamics models on large datasets
journals.plos.org
Author summary Understanding how viruses reproduce within an infected host is crucial for predicting disease progression and evaluating treatments. One way to study this is by using mathematical...
1
0
4
Probabilistic greedy algorithm solver using magnetic tunneling junctions for traveling salesman problem
nature.com
Nature Communications - Solving a task of optimal route search may be challenging for conventional algorithms. Here, authors use tunable random signals from magnetic tunnel junctions to improve a...
0
0
1
Epidemic threshold and localization of the SIS model on directed complex networks
0
0
0