Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5103381 | Physica A: Statistical Mechanics and its Applications | 2017 | 8 Pages |
Abstract
We investigate the growth of a class of networks in which a new node first picks a mediator at random and connects with m randomly chosen neighbors of the mediator at each time step. We show that the degree distribution in such a mediation-driven attachment (MDA) network exhibits power-law P(k)â¼kâγ(m) with a spectrum of exponents depending on m. To appreciate the contrast between MDA and Barabási-Albert (BA) networks, we then discuss their rank-size distribution. To quantify how long a leader, the node with the maximum degree, persists in its leadership as the network evolves, we investigate the leadership persistence probability F(Ï) i.e. the probability that a leader retains its leadership up to time Ï. We find that it exhibits a power-law F(Ï)â¼Ïâθ(m) with persistence exponent θ(m)â1.51âm in MDA networks and θ(m)â1.53 exponentially with m in BA networks.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Md. Kamrul Hassan, Liana Islam, Syed Arefinul Haque,