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20042010
most citedVoter Model on Heterogeneous Graphs

707 citations · 1.5k across the 11 of their papers we have counts for

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6 papers · 1 filter

cond-mat.stat-mech2010★ 13 cited

Random Sequential Renormalization of Networks I: Application to Critical Trees

Golnoosh Bizhani, Vishal Sood, Maya Paczuski +1

We introduce the concept of Random Sequential Renormalization (RSR) for arbitrary networks. RSR is a graph renormalization procedure that locally aggregates nodes to produce a coar…

cond-mat.stat-mech2009★ 6 cited

Random sampling vs. exact enumeration of attractors in random Boolean networks

Andrew Berdahl, Amer Shreim, Vishal Sood +2

We clarify the effect different sampling methods and weighting schemes have on the statistics of attractors in ensembles of random Boolean networks (RBNs). We directly measure cycl…

cond-mat.stat-mech2007★ 8 cited

Complex Network Analysis of State Spaces for Random Boolean Networks

Amer Shreim, Andrew Berdahl, Vishal Sood +2

We apply complex network analysis to the state spaces of random Boolean networks (RBNs). An RBN contains Boolean elements each with inputs. A directed state space network (…

cond-mat.stat-mech2007★ 50 cited

Localization Transition of Biased Random Walks on Random Networks

Vishal Sood, Peter Grassberger

We study random walks on large random graphs that are biased towards a randomly chosen but fixed target node. We show that a critical bias strength b_c exists such that most walks…

cond-mat.stat-mech2004★ 707 cited

Voter Model on Heterogeneous Graphs

V. Sood, S. Redner

We study the voter dynamics model on heterogeneous graphs. We exploit the non-conservation of the magnetization to characterize how consensus is reached on networks with different…

cond-mat.stat-mech2004★ 104 cited

First Passage Properties of the Erdos-Renyi Random Graph

V. Sood, S. Redner, D. ben-Avraham

We study the mean time for a random walk to traverse between two arbitrary sites of the Erdos-Renyi random graph. We develop an effective medium approximation that predicts that th…