activity
19972004
most citedThe shortest path to complex networks

52 citations · 89 across the 7 of their papers we have counts for

collaborators

15 papers

cond-mat.stat-mech200418 cited

Minimal models of weighted scale-free networks

S. N. Dorogovtsev, J. F. F. Mendes

We consider a class of simple, non-trivial models of evolving weighted scale-free networks. The network evolution in these models is determined by attachment of new vertices to end…

cond-mat.dis-nn20043 cited

Preferential compactness of networks

M. J. Alava, S. N. Dorogovtsev

We introduce evolving networks where new vertices preferentially connect to the more central parts of a network. This makes such networks compact. Finite networks grown under the p…

cond-mat.stat-mech200452 cited

The shortest path to complex networks

S. N. Dorogovtsev, J. F. F. Mendes

1. The birth of network science. 2. What are random networks? 3. Adjacency matrix. 4. Degree distribution. 5. What are simple networks? Classical random graphs. 6. Birth of the gia…

cond-mat.stat-mech20034 cited

Networks with desired correlations

S. N. Dorogovtsev

We discuss a simple method of constructing correlated random networks, which was recently proposed by M. Bogu~n'a and R. Pastor-Satorras (cond-mat/0306072). The result of this cons…

cond-mat.stat-mech20028 cited

Modern architecture of random graphs: Constructions and correlations

S. N. Dorogovtsev, J. F. F. Mendes, A. N. Samukhin

1. Basic constructions. 2. Equilibrium and nonequilibrium networks. 3. Equilibrium uncorrelated networks. 4. Nonequilibrium nongrowing scale-free nets. 5. Types of correlations. 6.…

cond-mat.stat-mech20023 cited

How to generate a random growing network

S. N. Dorogovtsev, J. F. F. Mendes, A. N. Samukhin

We propose a construction procedure which generates a wide class of random evolving networks with fat-tailed degree distributions and an arbitrary clustering. This procedure applie…