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...
In recent years the research community has accumulated overwhelming evidence for the emergence of co...
Most real networks are characterized by connectivity patterns that evolve in time following complex,...
Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. Fund ing was pr...
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...
13 pages, 11 figuresWe present a thorough inspection of the dynamical behavior of epidemic phenomena...
We present a detailed analytical and numerical study for the spreading of infections with acquired i...
Network science studies a complex system as a network to capture the connectivity patterns and topol...
One of the famous results of network science states that networks with heterogeneous connectivity ar...
We study by analytical methods and large scale simulations a dynamical model for the spreading of ep...
In the study of epidemic dynamics a fundamental question is whether a pathogen initially affecting o...
The study of epidemics on static networks has revealed important effects on disease prevalence of n...
We study a dynamical model of epidemic spreading on complex networks in which there are explicit cor...
We introduce a dynamic process of epidemic spreading into interdependent networks because, in realit...
In recent years the research community has accumulated overwhelming evidence for the emergence of co...
Most real networks are characterized by connectivity patterns that evolve in time following complex,...
Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. Fund ing was pr...
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...
13 pages, 11 figuresWe present a thorough inspection of the dynamical behavior of epidemic phenomena...
We present a detailed analytical and numerical study for the spreading of infections with acquired i...
Network science studies a complex system as a network to capture the connectivity patterns and topol...
One of the famous results of network science states that networks with heterogeneous connectivity ar...
We study by analytical methods and large scale simulations a dynamical model for the spreading of ep...
In the study of epidemic dynamics a fundamental question is whether a pathogen initially affecting o...
The study of epidemics on static networks has revealed important effects on disease prevalence of n...
We study a dynamical model of epidemic spreading on complex networks in which there are explicit cor...
We introduce a dynamic process of epidemic spreading into interdependent networks because, in realit...
In recent years the research community has accumulated overwhelming evidence for the emergence of co...
Most real networks are characterized by connectivity patterns that evolve in time following complex,...
Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. Fund ing was pr...