180 citations · 404 across the 15 of their papers we have counts for
5 papers · 1 filter
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…
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…
Predicting commuter flows in spatial networks using a radiation model based on temporal ranges
Yihui Ren, Mária Ercsey-Ravasz, Pu Wang +2
Understanding network flows such as commuter traffic in large transportation networks is an ongoing challenge due to the complex nature of the transportation infrastructure and of…
Range-limited Centrality Measures in Complex Networks
Maria Ercsey-Ravasz, Ryan Lichtenwalter, Nitesh V. Chawla +1
Here we present a range-limited approach to centrality measures in both non-weighted and weighted directed complex networks. We introduce an efficient method that generates for eve…
Centrality scaling in large networks
Maria Ercsey-Ravasz, Zoltan Toroczkai
Betweenness centrality lies at the core of both transport and structural vulnerability properties of complex networks, however, it is computationally costly, and its measurement fo…