Inspired by empirical studies of networked systems such as the Internet, social networks,
and biological networks, researchers have in recent years developed a variety of techniques …

To analyze the role of assortativity in networks we introduce an algorithm which produces
assortative mixing to a desired degree. This degree is governed by one parameter p …

Our interest to complex networks was strongly motivated by our studies of models of
infection spread, since it got clear that many effects can only be described when taking into …

We provide a phenomenological theory for topological transitions in restructuring networks.
In this statistical mechanical approach energy is assigned to the different network topologies …

To provide a phenomenological theory for the various interesting transitions in restructuring
networks we employ a statistical mechanical approach with detailed balance satisfied for the …

Many real-world systems can be represented by bipartite networks. In a bipartite network,
the nodes are divided into two disjoint sets, and the edges connect nodes that belong to …

Complex dynamical systems are often characterized by a large number of nonlinearly
interacting elements, giving rise to emergent properties that transcend the principle of linear …

Currently, drug discovery approaches commonly assume a monotonic dose-response
relationship. However, the assumption of monotonicity is increasingly being challenged …

Здiйснено огляд недавнiх результатiв емпiричних, числових та теоретичних дослiджень
складних мереж, що описують багато систем у природi й суспiльствi. Прикладами …

The complex behavior of many real-world systems depends on a network of both strong and
weak edges. Distinguishing between true weak edges and low-weight edges caused by …