How to generate a random growing network

2002/06/09 by S. N. Dorogovt︠s︡ev, S. N. Dorogovtsev, Dorogovtsev, S. N. +4 · 1 citation
Agricultural and Biological Sciences · Physics and Astronomy · #FOS: Physical sciences #Greenhouse Technology and Climate Control #Statistical Mechanics (cond-mat.stat-mech) #cond-mat.stat-mech

paper · pdf · doi:10.48550/arxiv.cond-mat/0206132

2 pages, a brief communication

arxiv created 2002/06/09 · openalex publication_date 2002/06/09 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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 applies the stochastic transformations of edges, which can be used as the basis of a real space renormalization group for evolving networks.

Cited by

• Random networks with tunable degree distribution and clustering

Related

• A Random Growth Model with any Real or Theoretical Degree Distribution
• Growing Network Models Having Part Edges Removed/added Randomly
• Growth and Optimality in Network Evolution
• Evolution of networks
• A simple and flexible algorithm to generate real-world networks