In contrast to previous common wisdom that epidemic activity in heterogeneous networks is dominated by the hubs with the largest number of connections, recent research has pointed out the role that the innermost, dense core of the network plays in sustaining epidemic processes. Here we show that the mechanism responsible of spreading depends on the nature of the process. Epidemics with a transient state are boosted by the innermost core. Contrarily, epidemics allowing a steady state present a dual scenario, where either the hub independently sustains activity and propagates it to the rest of the system, or, alternatively, the innermost network core collectively turns into the active state, maintaining it globally. In uncorrelated networks t...
Abstract. We present a detailed analytical and numerical study for the spreading of infections with ...
One of the famous results of network science states that networks with heterogeneous connectivity ar...
One of the famous results of network science states that networks with heterogeneous connectivity ar...
In contrast to previous common wisdom that epidemic activity in heterogeneous networks is dominated ...
In contrast to previous common wisdom that epidemic activity in heterogeneous networks is dominated ...
In the study of disease spreading on empirical complex networks in SIR model, initially infected nod...
We investigate the spread of an infection or other malfunction of cascading nature when a system com...
We investigate the spread of an infection or other malfunction of cascading nature when a system com...
We investigate the spread of an infection or other malfunction of cascading nature when a system com...
We investigate the spread of an infection or other malfunction of cascading nature when a system com...
13 pages, 11 figuresWe present a thorough inspection of the dynamical behavior of epidemic phenomena...
We present a thorough inspection of the dynamical behavior of epidemic phenomena in populations with...
We present a detailed analytical and numerical study for the spreading of infections with acquired i...
We present a detailed analytical and numerical study for the spreading of infections with acquired ...
Network science studies a complex system as a network to capture the connectivity patterns and topol...
Abstract. We present a detailed analytical and numerical study for the spreading of infections with ...
One of the famous results of network science states that networks with heterogeneous connectivity ar...
One of the famous results of network science states that networks with heterogeneous connectivity ar...
In contrast to previous common wisdom that epidemic activity in heterogeneous networks is dominated ...
In contrast to previous common wisdom that epidemic activity in heterogeneous networks is dominated ...
In the study of disease spreading on empirical complex networks in SIR model, initially infected nod...
We investigate the spread of an infection or other malfunction of cascading nature when a system com...
We investigate the spread of an infection or other malfunction of cascading nature when a system com...
We investigate the spread of an infection or other malfunction of cascading nature when a system com...
We investigate the spread of an infection or other malfunction of cascading nature when a system com...
13 pages, 11 figuresWe present a thorough inspection of the dynamical behavior of epidemic phenomena...
We present a thorough inspection of the dynamical behavior of epidemic phenomena in populations with...
We present a detailed analytical and numerical study for the spreading of infections with acquired i...
We present a detailed analytical and numerical study for the spreading of infections with acquired ...
Network science studies a complex system as a network to capture the connectivity patterns and topol...
Abstract. We present a detailed analytical and numerical study for the spreading of infections with ...
One of the famous results of network science states that networks with heterogeneous connectivity ar...
One of the famous results of network science states that networks with heterogeneous connectivity ar...