TY - JOUR
T1 - Immunity of multiplex networks via acquaintance vaccination
AU - Wang, Zhen
AU - Zhao, Da Wei
AU - Wang, Lin
AU - Sun, Gui Quan
AU - Jin, Zhen
N1 - Publisher Copyright:
© EPLA, 2015.
PY - 2015/11/1
Y1 - 2015/11/1
N2 - How to find the effective approach of immunizing aopulation is one open question in the research of complex systems. Up to now, there have been a great number of works focusing on the efficiency of various immunization strategies. However, the majority of these existing achievements are limited to isolated networks, how immunization affects disease spreading in multiplex networks seems to need further exploration. In this letter, we explore the impact of the acquaintance immunization in multiplex networks, where two kinds of immunization strategies, multiplex node-based acquaintance immunization and layer node-based acquaintance immunization, areroposed. With the generating function method, our theoretical framework is able to accurately calculate the critical immunization threshold which is one of the most important indexes toredict the epidemic regime. Moreover, we further uncover that, with the increment of degree correlation between network layers, the immunization threshold declines for multiplex node-based acquaintance immunization, but slowly increases for layer node-based acquaintance immunization.
AB - How to find the effective approach of immunizing aopulation is one open question in the research of complex systems. Up to now, there have been a great number of works focusing on the efficiency of various immunization strategies. However, the majority of these existing achievements are limited to isolated networks, how immunization affects disease spreading in multiplex networks seems to need further exploration. In this letter, we explore the impact of the acquaintance immunization in multiplex networks, where two kinds of immunization strategies, multiplex node-based acquaintance immunization and layer node-based acquaintance immunization, areroposed. With the generating function method, our theoretical framework is able to accurately calculate the critical immunization threshold which is one of the most important indexes toredict the epidemic regime. Moreover, we further uncover that, with the increment of degree correlation between network layers, the immunization threshold declines for multiplex node-based acquaintance immunization, but slowly increases for layer node-based acquaintance immunization.
UR - http://www.scopus.com/inward/record.url?scp=84951299803&partnerID=8YFLogxK
U2 - 10.1209/0295-5075/112/48002
DO - 10.1209/0295-5075/112/48002
M3 - 文章
AN - SCOPUS:84951299803
SN - 0295-5075
VL - 112
JO - EPL
JF - EPL
IS - 4
M1 - 48002
ER -