Epidemic remains one of the major threats to human society, which has attracted much attention for decades. Since real-world systems usually depend on each other, epidemics on interconnected networks have been studied recently. However, in most studies spatial constraints in these interconnected networks are neglected. Here we study the epidemics in a system composed of two interconnected lattices, which is compared with the epidemics in interconnected Erdös-Rényi (ER) networks. Our results show that the epidemic threshold in interconnected lattices decreases with increasing spatial length of interconnected links between networks. When the infection rate is small, the spatial constraints limit the transmission of the disease, where the infe...
Networks can be used to describe the interconnections among individuals, which play an important rol...
<p>For a given rewiring probability <i>p</i> and a given spatial constraint <i>R</i>, we gradually i...
This thesis studies dynamics and control of epidemic spreading in complex networks especially scale-...
We study geographical effects on the spread of diseases in lattice-embedded scale-free networks. The...
The susceptible-infected-susceptible (SIS) epidemics in a scale-free network in which each node is a...
Social influence in online social networks bears resemblance to epidemic spread in networks and has ...
Infectious diseases typically spread over a contact network with millions of individuals, whose shee...
We present a detailed analytical and numerical study for the spreading of infections with acquired i...
In this paper we create a new model of disease transmission that combines a branching process from e...
Most real-world networks are not isolated. In order to function fully, they are interconnected with ...
Networks can be used to describe the interconnections among individuals, which play an important rol...
We investigate the spread of an infection or other malfunction of cascading nature when a system com...
Many real networks are embedded in a metric space: the interactions among individuals depend on thei...
The study of complex networks, and in particular of social networks, has mostly concentrated on rela...
One of the famous results of network science states that networks with heterogeneous connectivity ar...
Networks can be used to describe the interconnections among individuals, which play an important rol...
<p>For a given rewiring probability <i>p</i> and a given spatial constraint <i>R</i>, we gradually i...
This thesis studies dynamics and control of epidemic spreading in complex networks especially scale-...
We study geographical effects on the spread of diseases in lattice-embedded scale-free networks. The...
The susceptible-infected-susceptible (SIS) epidemics in a scale-free network in which each node is a...
Social influence in online social networks bears resemblance to epidemic spread in networks and has ...
Infectious diseases typically spread over a contact network with millions of individuals, whose shee...
We present a detailed analytical and numerical study for the spreading of infections with acquired i...
In this paper we create a new model of disease transmission that combines a branching process from e...
Most real-world networks are not isolated. In order to function fully, they are interconnected with ...
Networks can be used to describe the interconnections among individuals, which play an important rol...
We investigate the spread of an infection or other malfunction of cascading nature when a system com...
Many real networks are embedded in a metric space: the interactions among individuals depend on thei...
The study of complex networks, and in particular of social networks, has mostly concentrated on rela...
One of the famous results of network science states that networks with heterogeneous connectivity ar...
Networks can be used to describe the interconnections among individuals, which play an important rol...
<p>For a given rewiring probability <i>p</i> and a given spatial constraint <i>R</i>, we gradually i...
This thesis studies dynamics and control of epidemic spreading in complex networks especially scale-...