Modelling relationship between entities in real‐world systems with a simple graph is a
standard approach. However, reality is better embraced as several interdependent …

A multiplex network models different modes of interaction among same-type entities. In this
article, we provide a taxonomy of community detection algorithms in multiplex networks. We …

This article proposes an innovative theoretical framework that combines institutional and
policy network approaches to study multi-level governance. The framework is used to derive …

Using a large sample of A-share listed companies on the Chinese stock market, we
investigate the impact of information interaction among institutional investors (IIAII) on stock …

A series of recent publications, within the framework of network science, have focused on
the coexistence of mixed attractive and repulsive (excitatory and inhibitory) interactions …

Multilayer networks have been widely used to represent and analyze systems of
interconnected entities where both the entities and their connections can be of different …

The relationship between tropical forests and global climate change has so far focused on
mitigation, while much less emphasis has been placed on how management activities may …

Network science is the field dedicated to the investigation and analysis of complex systems
via their representations as networks. We normally model such networks as graphs: sets of …

In Section A of the Supplementary Material, we provide additional theoretical results,
including upper and lower bounds when ρ is of constant order (Section A. 1), upper bounds …

The problem of community detection in a multilayer network can effectively be addressed by
aggregating the community structures separately generated for each network layer, in order …