16 citations · 58 across the 10 of their papers we have counts for
11 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…
Network geometry of the Drosophila brain
Bendegúz Sulyok, Sámuel G. Balogh, Gergely Palla
The recent reconstruction of the Drosophila brain provides a neural network of unprecedented size and level of details. In this work, we study the geometrical properties of this sy…
Geometric Organization and Inference of Shortest Path Nodes in Soft Random Geometric Graphs
Zhihao Qiu, Sámuel G. Balogh, Xinhan Liu +2
The shortest path problem is related to many dynamic processes on networks, ranging from routing in communication networks to signaling in molecular interaction networks. When the…
CLOVE: Travelling Salesman's approach to hyperbolic embeddings of complex networks with communities
Sámuel G. Balogh, Bendegúz Sulyok, Tamás Vicsek +1
The embedding of complex networks into metric spaces has become a research topic of high interest with a wide variety of proposed methods. Low dimensional hyperbolic spaces offer a…
Intra-community link formation and modularity in ultracold growing hyperbolic networks
Sámuel G. Balogh, Gergely Palla
Hyperbolic network models, centered around the idea of placing nodes at random in a hyperbolic space and drawing links according to a probability that decreases as a function of th…
Maximally modular structure of growing hyperbolic networks
Sámuel G. Balogh, Bianka Kovács, Gergely Palla
Hyperbolic models are remarkably good at reproducing the scale-free, highly clustered and small-world properties of networks representing real complex systems in a very simple fram…
Growing hyperbolic networks beyond two dimensions: the generalised popularity-similarity optimisation model
Bianka Kovács, Sámuel G. Balogh, Gergely Palla
Hyperbolic network models have gained considerable attention in recent years, mainly due to their capability of explaining many peculiar features of real-world networks. One of the…
Generalized entropies, density of states, and non-extensivity
Sámuel G. Balogh, Gergely Palla, Péter Pollner +1
The concept of entropy connects the number of possible configurations with the number of variables in large stochastic systems. Independent or weakly interacting variables render t…
Time evolution of the hierarchical networks between PubMed MeSH terms
Sámuel G. Balogh, Dániel Zagyva, Péter Pollner +1
Hierarchical organisation is a prevalent feature of many complex networks appearing in nature and society. A relating interesting, yet less studied question is how does a hierarchi…
Generalised thresholding of hidden variable network models with scale-free property
Sámuel G. Balogh, Péter Pollner, Gergely Palla
The hidden variable formalism (based on the assumption of some intrinsic node parameters) turned out to be a remarkably efficient and powerful approach in describing and analyzing…
Phase space volume scaling of generalized entropies and anomalous diffusion scaling governed by corresponding non-linear Fokker-Planck equations
Dániel Czégel, Sámuel G Balogh, Péter Pollner +1
Many physical, biological or social systems are governed by history-dependent dynamics or are composed of strongly interacting units, showing an extreme diversity of microscopic be…