Issue |
EPL
Volume 127, Number 5, September 2019
|
|
---|---|---|
Article Number | 56002 | |
Number of page(s) | 6 | |
Section | Condensed Matter: Structural, Mechanical and Thermal Properties | |
DOI | https://doi.org/10.1209/0295-5075/127/56002 | |
Published online | 04 October 2019 |
Unification of multiple classes of explosive percolation
1 School of Physics and Electronic Engineering, Sichuan Normal University - Chengdu 610066, China
2 School of Physics, University of Electronic Science and Technology of China - Chengdu 610054, China
3 School of Mathematical Sciences, University of Electronic Science and Technology of China Chengdu 611731, China
(a) gaoyachun@uestc.edu.cn
(b) zhangt512@foxmail.com
Received: 6 April 2019
Accepted: 22 August 2019
Percolation, characterizing the emergence of large-scale connectivity from a great number of isolated nodes, can generate continuous, multiple discontinuous and discontinuous phase transitions, which correspond to different physical processes, respectively. In this paper, we found a percolation model which unifies all the three types of phase transitions with a continuously tunable parameter α. When decreasing α from 1 to 0, the type of phase transition transfers from continuous to multiple discontinuous, and finally the percolation process exhibits a single discontinuity lacking a supercritical region. By carefully examining the evolving characteristic of the clusters, it is verified that the transition value of α is between 0.75 and 0.7 for the phase transition from continuous to multiple discontinuous, and the distinctly different behaviors of the relative variance of the order parameter at and confirm the result. On the other hand, the transition value of α is 0.5 at which the type of phase transition changes from multiple discontinuous to discontinuous. These results may be helpful in understanding the physical mechanisms behind various percolation transition processes.
PACS: 64.60.ah – Percolation / 64.60.aq – Networks / 05.70.Ln – Nonequilibrium and irreversible thermodynamics
© EPLA, 2019
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.