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20042026
most citedModularity from Fluctuations in Random Graphs and Complex Networks

899 citations · 4.3k across the 36 of their papers we have counts for

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8 papers · 1 filter

physics.data-an2025

Integral Bayesian symbolic regression for optimal discovery of governing equations from scarce and noisy data

Oriol Cabanas-Tirapu, Sergio Cobo-Lopez, Savannah E. Sanchez +3

Understanding how systems evolve over time often requires discovering the differential equations that govern their behavior. Automatically learning these equations from experimenta…

physics.data-an2023

Bayesian estimation of information-theoretic metrics for sparsely sampled distributions

Angelo Piga, Lluc Font-Pomarol, Marta Sales-Pardo +1

Estimating the Shannon entropy of a discrete distribution from which we have only observed a small sample is challenging. Estimating other information-theoretic metrics, such as th…

physics.data-an2021★ 2 cited

Node metadata can produce predictability transitions in network inference problems

Oscar Fajardo-Fontiveros, Marta Sales-Pardo, Roger Guimera

Network inference is the process of learning the properties of complex networks from data. Besides using information about known links in the network, node attributes and other for…

physics.data-an2020★ 9 cited

Bayesian machine scientist to compare data collapses for the Nikuradse dataset

Ignasi Reichardt, Jordi Pallares Marta Sales-Pardo, Roger Guimera

Ever since Nikuradse's experiments on turbulent friction in 1933, there have been theoretical attempts to describe his measurements by collapsing the data into single-variable func…

physics.data-an2010★ 815 cited

Missing and spurious interactions and the reconstruction of complex networks

R. Guimera, M. Sales-Pardo

Network analysis is currently used in a myriad of contexts: from identifying potential drug targets to predicting the spread of epidemics and designing vaccination strategies, and…

physics.data-an2008★ 41 cited

Detection of node group membership in networks with group overlap

Erin N. Sawardecker, Marta Sales-Pardo, Luís A. Nunes Amaral

Most networks found in social and biochemical systems have modular structures. An important question prompted by the modularity of these networks is whether nodes can be said to be…

physics.data-an2007★ 433 cited

Classes of complex networks defined by role-to-role connectivity profiles

R. Guimera, M. Sales-Pardo, L. A. N. Amaral

Interactions between units in phyical, biological, technological, and social systems usually give rise to intrincate networks with non-trivial structure, which critically affects t…

physics.data-an2007★ 411 cited

Module identification in bipartite and directed networks

R. Guimera, M. Sales-Pardo, L. A. N. Amaral

Modularity is one of the most prominent properties of real-world complex networks. Here, we address the issue of module identification in two important classes of networks: biparti…