180 citations · 404 across the 15 of their papers we have counts for
16 papers
The exponential distance rule based network model predicts topology and reveals functionally relevant properties of the Drosophila projectome
Balazs Pentek, Maria Ercsey-Ravasz
Studying structural brain networks has witnessed significant advancement in recent decades. Findings have revealed a geometric principle, the exponential distance rule (EDR) showin…
Measuring dynamical phase transitions in time series
Bulcsú Sándor, András Rusu, Károly Dénes +2
There is a growing interest in methods for detecting and interpreting changes in experimental time evolution data. Based on measured time series, the quantitative characterization…
Coarse-graining effect in axonal wiring databases confirms the exponential distance rule
Máté Józsa, Zsolt I. Lázár, Mária Ercsey-Ravasz
Axonal connections in the mouse brain show exponential scaling in the number of connections with their length, recently referred to as the exponential distance rule (EDR). This wor…
Community Detection in Directed Weighted Networks using Voronoi Partitioning
Botond Molnár, Ildikó-Beáta Márton, Szabolcs Horvát +1
Community detection is a ubiquitous problem in applied network analysis, yet efficient techniques do not yet exist for all types of network data. Most techniques have been develope…
A high-performance analog Max-SAT solver and its application to Ramsey numbers
Botond Molnár, Melinda Varga, Zoltan Toroczkai +1
We introduce a continuous-time analog solver for MaxSAT, a quintessential class of NP-hard discrete optimization problems, where the task is to find a truth assignment for a set of…
Stochastic graph Voronoi tessellation reveals community structure
Zsolt I. Lázár, István Papp, Levente Varga +3
Given a network, the statistical ensemble of its graph-Voronoi diagrams with randomly chosen cell centers exhibits properties convertible into information on the network's large sc…