246 citations · 627 across the 8 of their papers we have counts for
8 papers
Inverse targeting -- an effective immunization strategy
Christian M. Schneider, Tamara Mihaljev, Hans J. Herrmann
We propose a new method to immunize populations or computer networks against epidemics which is more efficient than any method considered before. The novelty of our method resides…
Suppressing Epidemics with a Limited Amount of Immunization Units
Christian M. Schneider, Tamara Mihaljev, Shlomo Havlin +1
The way diseases spread through schools, epidemics through countries, and viruses through the Internet is crucial in determining their risk. Although each of these threats has its…
Inter-arrival times of message propagation on directed networks
Tamara Mihaljev, Lucilla de Arcangelis, Hans J. Herrmann
One of the challenges in fighting cybercrime is to understand the dynamics of message propagation on botnets, networks of infected computers used to send viruses, unsolicited comme…
Evolution of a population of random Boolean networks
Tamara Mihaljev, Barbara Drossel
We investigate the evolution of populations of random Boolean networks under selection for robustness of the dynamics with respect to the perturbation of the state of a node. The f…
The phase diagram of random threshold networks
Agnes Szejka, Tamara Mihaljev, Barbara Drossel
Threshold networks are used as models for neural or gene regulatory networks. They show a rich dynamical behaviour with a transition between a frozen and a chaotic phase. We invest…
Scaling in a general class of critical random Boolean networks
Tamara Mihaljev, Barbara Drossel
We derive analytically the scaling behavior in the thermodynamic limit of the number of nonfrozen and relevant nodes in the most general class of critical Kauffman networks for any…