More is different in real-world multilayer networks
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 …
patterns and dynamical processes that are well captured by network models. However, most …
[HTML][HTML] Networks beyond pairwise interactions: Structure and dynamics
The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …
of the interactions among their units. Over the past decades, a variety of complex systems …
Random walks on hypergraphs
In the past 20 years network science has proven its strength in modeling many real-world
interacting systems as generic agents, the nodes, connected by pairwise edges …
interacting systems as generic agents, the nodes, connected by pairwise edges …
Reinforcement learning based capacity management in multi-layer satellite networks
The development of satellite networks is drawing much more attention in recent years due to
the wide coverage ability. Composed of geosynchronous orbit (GEO), medium earth orbit …
the wide coverage ability. Composed of geosynchronous orbit (GEO), medium earth orbit …
Multilayer motif analysis of brain networks
In the last decade, network science has shed new light both on the structural (anatomical)
and on the functional (correlations in the activity) connectivity among the different areas of …
and on the functional (correlations in the activity) connectivity among the different areas of …
Financial networks and stress testing: Challenges and new research avenues for systemic risk analysis and financial stability implications
Network models, stress testing methods and early warning systems are attracting growing
interest both among scholars and practitioners. In this short paper, we illustrate some of the …
interest both among scholars and practitioners. In this short paper, we illustrate some of the …
Contributions of modern network science to the cognitive sciences: Revisiting research spirals of representation and process
Modelling the structure of cognitive systems is a central goal of the cognitive sciences—a
goal that has greatly benefitted from the application of network science approaches. This …
goal that has greatly benefitted from the application of network science approaches. This …
Investigating urban mobility through multi-source public transportation data: A multiplex network perspective
The integration of multi-source and diverse spatio-temporal travel data provides a
comprehensive insight into urban mobility. Using data from Shenzhen's public transportation …
comprehensive insight into urban mobility. Using data from Shenzhen's public transportation …
Determinants of public cooperation in multiplex networks
Synergies between evolutionary game theory and statistical physics have significantly
improved our understanding of public cooperation in structured populations. Multiplex …
improved our understanding of public cooperation in structured populations. Multiplex …
Multiplex model of mental lexicon reveals explosive learning in humans
Word similarities affect language acquisition and use in a multi-relational way barely
accounted for in the literature. We propose a multiplex network representation of this mental …
accounted for in the literature. We propose a multiplex network representation of this mental …