47 citations · 123 across the 16 of their papers we have counts for
17 papers
Non-Pharmaceutical Interventions Reshape Network Immunization Outcomes
Sámuel G. Balogh, Gergely Ódor, Márton Karsai
Herd immunity is shaped not only by the infection capacity of a spreading epidemic or the contact structure of the hosting population, but also by how and under what circumstances…
Preferential Attachment with Local Flexibility
Tingyu Zhao, Balázs Maga, Pierfrancesco Dionigi +6
From the formation of social ties to the budding quantum internet, growing networks often exhibit local flexibility upon new nodes attaching to an existing network. In our proposed…
Epidemic paradox induced by awareness driven network dynamics
Csegő Balázs Kolok, Gergely Ódor, Dániel Keliger +1
We study stationary epidemic processes in scale-free networks with local awareness behavior adopted by only susceptible, only infected, or all nodes. We find that while the epidemi…
Distinguishing mechanisms of social contagion from local network view
Elsa Andres, Gergely Ódor, Iacopo Iacopini +1
The adoption of individual behavioural patterns is largely determined by stimuli arriving from peers via social interactions or from external sources. Based on these influences, in…
Epidemic-induced local awareness behavior inferred from surveys and genetic sequence data
Gergely Ódor, Márton Karsai
Behavior-disease models suggest that pandemics can be contained cost-effectively if individuals take preventive actions when disease prevalence rises among their close contacts. Ho…
Switchover phenomenon for general graphs
Dániel Keliger, László Lovász, Tamás Móri +1
We study SIR type epidemics on graphs in two scenarios: (i) when the initial infections start from a well connected central region, (ii) when initial infections are distributed uni…
Source Detection via Contact Tracing in the Presence of Asymptomatic Patients
Gergely Ódor, Jana Vuckovic, Miguel-Angel Sanchez Ndoye +1
Inferring the source of a diffusion in a large network of agents is a difficult but feasible task, if a few agents act as sensors revealing the time at which they got hit by the di…
Switchover phenomenon induced by epidemic seeding on geometric networks
Gergely Ódor, Domonkos Czifra, Júlia Komjáthy +2
It is a fundamental question in disease modelling how the initial seeding of an epidemic, spreading over a network, determines its final outcome. Research in this topic has primari…
On the robustness of the metric dimension of grid graphs to adding a single edge
Satvik Mashkaria, Gergely Ódor, Patrick Thiran
The metric dimension (MD) of a graph is a combinatorial notion capturing the minimum number of landmark nodes needed to distinguish every pair of nodes in the graph based on graph…
The metric dimension of critical Galton-Watson trees and linear preferential attachment trees
Júlia Komjáthy, Gergely Ódor
The metric dimension of a graph is the minimal size of a subset of vertices of that, upon reporting their graph distance from a distingished (source) vertex ,…
The power of adaptivity in source identification with time queries on the path
Victor Lecomte, Gergely Ódor, Patrick Thiran
We study the problem of identifying the source of a stochastic diffusion process spreading on a graph based on the arrival times of the diffusion at a few queried nodes. In a graph…
Sequential metric dimension for random graphs
Gergely Ódor, Patrick Thiran
In the localization game on a graph, the goal is to find a fixed but unknown target node with the least number of distance queries possible. In the step of the g…
A Multi-Pass Approach to Large-Scale Connectomics
Yaron Meirovitch, Alexander Matveev, Hayk Saribekyan +8
The field of connectomics faces unprecedented "big data" challenges. To reconstruct neuronal connectivity, automated pixel-level segmentation is required for petabytes of streaming…
Hierarchical Manifold Clustering on Diffusion Maps for Connectomics (MIT 18.S096 final project)
Gergely Odor
In this paper, we introduce a novel algorithm for segmentation of imperfect boundary probability maps (BPM) in connectomics. Our algorithm can be a considered as an extension of sp…
Frank-Wolfe Works for Non-Lipschitz Continuous Gradient Objectives: Scalable Poisson Phase Retrieval
Gergely Odor, Yen-Huan Li, Alp Yurtsever +4
We study a phase retrieval problem in the Poisson noise model. Motivated by the PhaseLift approach, we approximate the maximum-likelihood estimator by solving a convex program with…
Griffiths phases and localization in hierarchical modular networks
Géza Ódor, Ronald Dickman, Gergely Ódor
We study variants of hierarchical modular network models suggested by Kaiser and Hilgetag [Frontiers in Neuroinformatics, 4 (2010) 8] to model functional brain connectivity, using…
Simulation of 1+1 dimensional surface growth and lattices gases using GPUs
Henrik Schulz, Géza Ódor, Gergely Ódor +1
Restricted solid on solid surface growth models can be mapped onto binary lattice gases. We show that efficient simulation algorithms can be realized on GPUs either by CUDA or by O…