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20042026
most citedPercolation and Epidemic Thresholds in Clustered Networks

192 citations · 856 across the 10 of their papers we have counts for

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Showing cond-mat.dis-nnShow all

6 papers · 1 filter

cond-mat.dis-nn2026

Quantum Localization in Geometric Complex Networks

Jan Lewenstein-Sanpera, Tobias Grass, M. Àngeles Serrano +1

Quantum localization, the phenomenon by which wave diffusion is halted, here understood as the superposition of propagating waves, can have many different origins, such as onsite r…

cond-mat.dis-nn2006★ 126 cited

Clustering in complex networks. II. Percolation properties

M. Angeles Serrano, Marian Boguna

The percolation properties of clustered networks are analyzed in detail. In the case of weak clustering, we present an analytical approach that allows to find the critical threshol…

cond-mat.dis-nn2006★ 155 cited

Clustering in complex networks. I. General formalism

M. Angeles Serrano, Marian Boguna

We develop a full theoretical approach to clustering in complex networks. A key concept is introduced, the edge multiplicity, that measures the number of triangles passing through…

cond-mat.dis-nn2006★ 192 cited

Percolation and Epidemic Thresholds in Clustered Networks

M. Angeles Serrano, Marian Boguna

We develop a theoretical approach to percolation in random clustered networks. We find that, although clustering in scale-free networks can strongly affect some percolation propert…

cond-mat.dis-nn2005★ 162 cited

Generalized percolation in random directed networks

M. Boguna, M. A. Serrano

We develop a general theory for percolation in directed random networks with arbitrary two point correlations and bidirectional edges, that is, edges pointing in both directions si…

cond-mat.dis-nn2004★ 61 cited

Competition and adaptation in an Internet evolution model

M. Angeles Serrano, Marian Boguna, Albert Diaz-Guilera

We model the evolution of the Internet at the Autonomous System level as a process of competition for users and adaptation of bandwidth capability. We find the exponent of the degr…