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 …

Current societal challenges exceed the capacity of humans operating either alone or
collectively. As AI evolves, its role within human collectives will vary from an assistive tool to …

Uncovering the underlying community structure of a social network is an important task in
social network analysis. To solve this problem, many community detection algorithms for the …

Multilayer graphs have received significant research attention in numerous areas beacause
of their high utility in modeling interdependent systems. However, clustering of the multilayer …

Many real-world datasets can be naturally represented as graphs, spanning a wide range of
domains. However, the increasing complexity and size of graph datasets present significant …

Multilayer networks continue to gain significant attention in many areas of study, particularly
due to their high utility in modeling interdependent systems such as critical infrastructures …

Centrality measures have been proved to be a salient computational science tool for
analyzing networks in the last two to three decades aiding many problems in the domain of …

Coordination is a fundamental aspect of life. The advent of social media has made it integral
also to online human interactions, such as those that characterize thriving online …

The network connectivities play an important role in displaying the vastly different collective
dynamics in many complex systems. To demonstrate the presence of different dynamical …

Relational information between different types of entities is often modelled by a multilayer
network (MLN)–a network with subnetworks represented by layers. The layers of an MLN …