Recent years have witnessed a significant trend towards filling the gap between Social
Network Analysis (SNA) and control theory. This trend was enabled by the introduction of …

For several years it has been argued that neural synchronisation is crucial for cognition. The
idea that synchronised temporal patterns between different neural groups carries …

The influence of the network characteristics on the virus spread is analyzed in a new-the N-
intertwined Markov chain-model, whose only approximation lies in the application of mean …

This concise and self-contained introduction builds up the spectral theory of graphs from
scratch, with linear algebra and the theory of polynomials developed in the later parts. The …

Ubiquitous in-network caching is one of the key aspects of information-centric networking
(ICN) which has received widespread research interest in recent years. In one of the key …

Supplement to “Mimimax rates of community detection in stochastic block models”. In the
supplement 31, we provide proofs of Lemma 5.2, Propositions 5.1 and 5.2. We also provide …

Mean-field deterministic epidemic models have been successful in uncovering several
important dynamic properties of stochastic epidemic spreading processes over complex …

Serious epidemics, both in cyber space as well as in our real world, are expected to occur
with high probability, which justifies investigations in virus spread models in (contact) …

We study the problem of containing spreading processes in arbitrary directed networks by
distributing protection resources throughout the nodes of the network. We consider that two …

Cloud data centers consume a large amount of energy that leads to a high carbon footprint.
Taking into account a carbon tax imposed on the emitted carbon makes energy and carbon …