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20112020
most citedDeciphering Network Community Structure by Surprise

115 citations · 670 across the 11 of their papers we have counts for

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5 papers · 1 filter

physics.soc-ph2020★ 16 cited

Random hyperbolic graphs in dimensions

Gabriel Budel, Maksim Kitsak, Rodrigo Aldecoa +2

We consider random hyperbolic graphs in hyperbolic spaces of any dimension . We present a rescaling of model parameters that casts the random hyperbolic graph model of a…

physics.soc-ph2015★ 53 cited

Hyperbolic Graph Generator

Rodrigo Aldecoa, Chiara Orsini, Dmitri Krioukov

Networks representing many complex systems in nature and society share some common structural properties like heterogeneous degree distributions and strong clustering. Recent resea…

physics.soc-ph2015★ 113 cited

Detecting communities using asymptotical Surprise

V. A. Traag, R. Aldecoa, J-C. Delvenne

Nodes in real-world networks are repeatedly observed to form dense clusters, often referred to as communities. Methods to detect these groups of nodes usually maximize an objective…

physics.soc-ph2013★ 74 cited

Exploring the limits of community detection strategies in complex networks

Rodrigo Aldecoa, Ignacio Marín

The characterization of network community structure has profound implications in several scientific areas. Therefore, testing the algorithms developed to establish the optimal divi…

physics.soc-ph2012★ 19 cited

Closed benchmarks for network community structure characterization

Rodrigo Aldecoa, Ignacio Marín

Characterizing the community structure of complex networks is a key challenge in many scientific fields. Very diverse algorithms and methods have been proposed to this end, many wo…