https://doi.org/10.1140/epjb/e2006-00008-2
Evolving network – simulation study
From regular lattice to scale free network
Institute of Theoretical Physics and Astrophysics, Gdańsk University, ul. Wita Stwosza 57, 80-952 Gdansk, Poland
Corresponding author: a fizdm@univ.gda.pl
Received:
25
May
2005
Revised:
10
October
2005
Published online:
19
January
2006
The Watts-Strogatz algorithm of transferring the square lattice to a small world network is modified by introducing preferential rewiring constrained by connectivity demand. The evolution of the network is two-step: sequential preferential rewiring of edges controlled by p and updating the information about changes done. The evolving system self-organizes into stationary states. The topological transition in the graph structure is noticed with respect to p. Leafy phase – a graph formed by multiple connected vertices (graph skeleton) with plenty of leaves attached to each skeleton vertex emerges when p is small enough to pretend asynchronous evolution. Tangling phase where edges of a graph circulate frequently among low degree vertices occurs when p is large. There exist conditions at which the resulting stationary network ensemble provides networks which degree distribution exhibit power-law decay in large interval of degrees.
PACS: 02.50.Ey – Stochastic processes / 89.75.Fb – Structures and organization in complex systems / 89.20.Ff – Computer science and technology
© EDP Sciences, Società Italiana di Fisica, Springer-Verlag, 2006