The constituents of many complex systems are characterized by non-trivial connectivity
patterns and dynamical processes that are well captured by network models. However, most …

To explain how the brain orchestrates information-processing for cognition, we must
understand information itself. Importantly, information is not a monolithic entity. Information …

'Big data'is massive amounts of information that can work wonders. It has become a topic of
special interest for the past two decades because of a great potential that is hidden in it …

With the impressive growth of available data and the flexibility of network modelling, the
problem of devising effective quantitative methods for the comparison of networks arises …

The science of science (SOS) is a rapidly develo** field which aims to understand,
quantify and predict scientific research and the resulting outcomes. The problem is …

Despite the success of traditional network analysis, standard networks provide a limited
representation of complex systems, which often include different types of relationships (or …

Complex systems are characterized by many interacting units that give rise to emergent
behavior. A particularly advantageous way to study these systems is through the analysis of …

Although networks provide a powerful approach to study a large variety of ecological
systems, their formulation does not typically account for multiple interaction types …

To comprehend interconnected systems across the social and natural sciences, researchers
have developed many powerful methods to identify functional modules. For example, with …

Network medicine is an emerging area of research dealing with molecular and genetic
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …