TY - JOUR
T1 - Bond percolation in coloured and multiplex networks
AU - Kryven, Ivan
PY - 2019/12/1
Y1 - 2019/12/1
N2 - Percolation in complex networks is a process that mimics network degradation and a tool that reveals peculiarities of the network structure. During the course of percolation, the emergent properties of networks undergo non-trivial transformations, which include a phase transition in the connectivity, and in some special cases, multiple phase transitions. Such global transformations are caused by only subtle changes in the degree distribution, which locally describe the network. Here we establish a generic analytic theory that describes how structure and sizes of all connected components in the network are affected by simple and colour-dependent bond percolations. This theory predicts locations of the phase transitions, existence of wide critical regimes that do not vanish in the thermodynamic limit, and a phenomenon of colour switching in small components. These results may be used to design percolation-like processes, optimise network response to percolation, and detect subtle signals preceding network collapse.
AB - Percolation in complex networks is a process that mimics network degradation and a tool that reveals peculiarities of the network structure. During the course of percolation, the emergent properties of networks undergo non-trivial transformations, which include a phase transition in the connectivity, and in some special cases, multiple phase transitions. Such global transformations are caused by only subtle changes in the degree distribution, which locally describe the network. Here we establish a generic analytic theory that describes how structure and sizes of all connected components in the network are affected by simple and colour-dependent bond percolations. This theory predicts locations of the phase transitions, existence of wide critical regimes that do not vanish in the thermodynamic limit, and a phenomenon of colour switching in small components. These results may be used to design percolation-like processes, optimise network response to percolation, and detect subtle signals preceding network collapse.
UR - http://www.scopus.com/inward/record.url?scp=85060520283&partnerID=8YFLogxK
U2 - 10.1038/s41467-018-08009-9
DO - 10.1038/s41467-018-08009-9
M3 - Article
C2 - 30679430
AN - SCOPUS:85060520283
SN - 2041-1723
VL - 10
SP - 1
EP - 16
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 404
ER -