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19992008
most citedOptimal Paths in Disordered Complex Networks

189 citations · 267 across the 6 of their papers we have counts for

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6 papers · 1 filter

cond-mat.dis-nn20098 cited

Structural crossover of polymers in disordered media

Roni Parshani, Lidia A. Braunstein, Shlomo Havlin

We present a unified scaling theory for the structural behavior of polymers embedded in a disordered energy substrate. An optimal polymer configuration is defined as the polymer co…

cond-mat.dis-nn200726 cited

Numerical evaluation of the upper critical dimension of percolation in scale-free networks

Zhenhua Wu, Cecilia Lagorio, Lidia A. Braunstein +3

We propose a numerical method to evaluate the upper critical dimension of random percolation clusters in Erdős-Rényi networks and in scale-free networks with degree distribut…

cond-mat.dis-nn2005

Transport in weighted networks: Partition into superhighways and roads

Zhenhua Wu, Lidia A. Braunstein, Shlomo Havlin +1

Transport in weighted networks is dominated by the minimum spanning tree (MST), the tree connecting all nodes with the minimum total weight. We find that the MST can be partitioned…

cond-mat.dis-nn2005

Scaling of optimal-path-lengths distribution in complex networks

Tomer Kalisk, Lidia A. Braunstein, Sergey V. Buldyrev +2

We study the distribution of optimal path lengths in random graphs with random weights associated with each link (``disorder''). With each link we associate a weight $τ_i = \ex…

cond-mat.dis-nn2004

Effect of Disorder Strength on Optimal Paths in Complex Networks

Sameet Sreenivasan, Tomer Kalisky, Lidia A. Braunstein +3

We study the transition between the strong and weak disorder regimes in the scaling properties of the average optimal path in a disordered Erdős-Rényi (ER) random…

cond-mat.dis-nn2004

Universal Behavior of the Coefficients of the Continuous Equation in Competitive Growth Models

D. Muraca, L. A. Braunstein, R. C. Buceta

The competitive growth models involving only one kind of particles (CGM), are a mixture of two processes one with probability and the other with probability . The depe…