English

Degree Distribution, Rank-size Distribution, and Leadership Persistence in Mediation-Driven Attachment Networks

Physics and Society 2016-11-29 v1 Statistical Mechanics Social and Information Networks

Abstract

We investigate the growth of a class of networks in which a new node first picks a mediator at random and connects with mm randomly chosen neighbors of the mediator at each time step. We show that degree distribution in such a mediation-driven attachment (MDA) network exhibits power-law P(k)kγ(m)P(k)\sim k^{-\gamma(m)} with a spectrum of exponents depending on mm. To appreciate the contrast between MDA and Barab\'{a}si-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(τ)F(\tau) i.e. the probability that a leader retains its leadership up to time τ\tau. We find that it exhibits a power-law F(τ)τθ(m)F(\tau)\sim \tau^{-\theta(m)} with persistence exponent θ(m)1.51  m\theta(m) \approx 1.51 \ \forall \ m in the MDA networks and θ(m)1.53\theta(m) \rightarrow 1.53 exponentially with mm in the BA networks.

Keywords

Cite

@article{arxiv.1611.04583,
  title  = {Degree Distribution, Rank-size Distribution, and Leadership Persistence in Mediation-Driven Attachment Networks},
  author = {Md. Kamrul Hassan and Liana Islam and Syed Arefinul Haque},
  journal= {arXiv preprint arXiv:1611.04583},
  year   = {2016}
}

Comments

7 pages, 8 figures, accepted for publication in Physica A