Affordable Access

Access to the full text

Hybrid Percolation Transition in Cluster Merging Processes: Continuously Varying Exponents

Authors
  • Cho, Y. S.
  • Lee, J. S.
  • Herrmann, H. J.
  • Kahng, B.
Type
Published Article
Publication Date
Jan 15, 2016
Submission Date
Dec 14, 2015
Identifiers
DOI: 10.1103/PhysRevLett.116.025701
Source
arXiv
License
Yellow
External links

Abstract

Consider growing a network, in which every new connection is made between two disconnected nodes. At least one node is chosen randomly from a subset consisting of $g$ fraction of the entire population in the smallest clusters. Here we show that this simple strategy for improving connection exhibits a phase transition barely studied before, namely a hybrid percolation transition exhibiting the properties of both first-order and second-order phase transitions. The cluster size distribution of finite clusters at a transition point exhibits power-law behavior with a continuously varying exponent $\tau$ in the range $2 < \tau(g) \le 2.5$. This pattern reveals a necessary condition for a hybrid transition in cluster aggregation processes, which is comparable to the power-law behavior of the avalanche size distribution arising in models with link-deleting processes in interdependent networks.

Report this publication

Statistics

Seen <100 times