The best strategy to immunize a complex network is usually evaluated in terms of the percolation threshold, i.e. the number of vaccine doses which make the largest connected cluster (LCC) vanish. The strategy inducing the minimum percolation threshold represents the optimal way to immunize the network. Here we show that the efficacy of the immunization strategies can change during the immunization process. This means that, if the number of doses is limited, the best strategy is not necessarily the one leading to the smallest percolation threshold. This outcome should warn about the adoption of global measures in order to evaluate the best immunization strategy
Up to now, immunization of disease propagation has attracted great attention in both theoretical and...
In today’s highly connected world, contagion processes on networks are of interest and concern acros...
When vaccinating a large population in response to an invading pathogen, it is often necessary to pr...
The best strategy to immunize a complex network is usually evaluated in terms of the percolation th...
In this letter we studied the epidemic spreading on scale-free networks assuming a limited budget fo...
We propose a new method to immunize populations or computer networks against epidemics which is more...
The way diseases spread through schools, epidemics through countries, and viruses through the Intern...
Immunization of complex network with minimal or limited budget is a challenging issue for research c...
We present a combined epidemiological and economic model for control of diseases spreading on local ...
In this paper, we study the vaccination of graphs against the outbreak of infectious diseases, in th...
Network-based intervention strategies can be effective and cost-efficient approaches to curtailing h...
The problem of targeted network immunization can be defined as the one of finding a subset of nodes ...
The immunization strategies through contact tracing on the susceptible-infected-recovered framework ...
Modern view of network resilience and epidemic spreading has been shaped by percolation tools from s...
Recently, there has been significant research activity in the algorithmic analysis of complex networ...
Up to now, immunization of disease propagation has attracted great attention in both theoretical and...
In today’s highly connected world, contagion processes on networks are of interest and concern acros...
When vaccinating a large population in response to an invading pathogen, it is often necessary to pr...
The best strategy to immunize a complex network is usually evaluated in terms of the percolation th...
In this letter we studied the epidemic spreading on scale-free networks assuming a limited budget fo...
We propose a new method to immunize populations or computer networks against epidemics which is more...
The way diseases spread through schools, epidemics through countries, and viruses through the Intern...
Immunization of complex network with minimal or limited budget is a challenging issue for research c...
We present a combined epidemiological and economic model for control of diseases spreading on local ...
In this paper, we study the vaccination of graphs against the outbreak of infectious diseases, in th...
Network-based intervention strategies can be effective and cost-efficient approaches to curtailing h...
The problem of targeted network immunization can be defined as the one of finding a subset of nodes ...
The immunization strategies through contact tracing on the susceptible-infected-recovered framework ...
Modern view of network resilience and epidemic spreading has been shaped by percolation tools from s...
Recently, there has been significant research activity in the algorithmic analysis of complex networ...
Up to now, immunization of disease propagation has attracted great attention in both theoretical and...
In today’s highly connected world, contagion processes on networks are of interest and concern acros...
When vaccinating a large population in response to an invading pathogen, it is often necessary to pr...