TY - JOUR
T1 - Endemic infections are always possible on regular networks.
AU - Del Genio, Charo I
AU - House, Thomas
PY - 2013/10
Y1 - 2013/10
N2 - We study the dependence of the largest component in regular networks on the clustering coefficient, showing that its size changes smoothly without undergoing a phase transition. We explain this behavior via an analytical approach based on the network structure, and provide an exact equation describing the numerical results. Our work indicates that intrinsic structural properties always allow the spread of epidemics on regular networks.
AB - We study the dependence of the largest component in regular networks on the clustering coefficient, showing that its size changes smoothly without undergoing a phase transition. We explain this behavior via an analytical approach based on the network structure, and provide an exact equation describing the numerical results. Our work indicates that intrinsic structural properties always allow the spread of epidemics on regular networks.
UR - https://www.scopus.com/pages/publications/84886661836
M3 - Article
C2 - 24229103
SN - 1539-3755
VL - 88
JO - Physical review. E, Statistical, nonlinear, and soft matter physics
JF - Physical review. E, Statistical, nonlinear, and soft matter physics
IS - 4
ER -
