activity
20102025
most citedEffect of the Interconnected Network Structure on the Epidemic Threshold

199 citations · 1k across the 32 of their papers we have counts for

collaborators
Showing 2013Show all

6 papers · 1 filter

math.PR2013★ 22 cited

Decay towards the overall-healthy state in SIS epidemics on networks

Piet Van Mieghem

The decay rate of SIS epidemics on the complete graph is computed analytically, based on a new, algebraic method to compute the second largest eigenvalue of a stochastic th…

math.OC2013★ 88 cited

In-homogeneous Virus Spread in Networks

Piet Van Mieghem, Jasmina Omic

Our -intertwined model (now called NIMFA) for virus spread in any network with nodes is extended to a full heterogeneous setting. The metastable steady-state nodal infection…

physics.soc-ph2013★ 47 cited

Lognormal Infection Times of Online Information Spread

Christian Doerr, Norbert Blenn, Piet Van Mieghem

The infection times of individuals in online information spread such as the inter-arrival time of Twitter messages or the propagation time of news stories on a social media site ca…

eess.SY2013★ 12 cited

On Synchronization of Interdependent Networks

J. Martin-Hernandez, H. Wang, P. Van Mieghem +1

It is well-known that the synchronization of diffusively-coupled systems on networks strongly depends on the network topology. In particular, the so-called algebraic connectivity $…

physics.soc-ph2013★ 199 cited

Effect of the Interconnected Network Structure on the Epidemic Threshold

Huijuan Wang, Qian Li, Gregorio D'Agostino +3

Most real-world networks are not isolated. In order to function fully, they are interconnected with other networks, and this interconnection influences their dynamic processes. For…

physics.soc-ph2013★ 49 cited

Epidemic threshold in directed networks

Cong Li, Huijuan Wang, Piet Van Mieghem

Epidemics have so far been mostly studied in undirected networks. However, many real-world networks, such as the social network Twitter and the WWW networks, upon which information…