Add to ORKG[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-SISOInternational audienceThe problem of local community detection refers to the identification of a community starting from a query node and using limited information about the network structure. Existing methods for solving this problem however are not designed to deal with multilayer network models, which are becoming pervasive in many fields of science. In this work, we present the first method for local community detection in multilayer networks. Our method exploits both internal and external connectivity of the nodes in the community being constructed for a given seed, while accounting for different layer-specific topological information. Evaluation of the proposed...
Network methods have had profound influence in many domains and disciplines in the past decade. Comm...
The community structures commonly exist in real-world networks such as brain networks, social networ...
The investigation of community structures in networks is an important issue in many domains and disc...
International audienceThe problem of local community detection in graphs refers to the identificatio...
International audienceThe problem of node-centric, or local, community detection in information netw...
Many complex systems are composed of coupled networks through different layers, where each layer rep...
In this work, we propose a new approach for clustering multilayer and attributed networks, which cap...
Community detection aims to find dense subgraphs in a network. We consider the problem of finding a ...
Detecting community structure is an important methodology to study complex networks. Community detec...
Community detection aims to find dense subgraphs in a network. We consider the problem of finding a ...
International audienceCommunity detection in single layer, isolated networks has been extensively st...
The community structures commonly exist in real-world networks such as brain networks, social networ...
Detecting community structure is an important methodology to study complex networks. Community detec...
Network methods have had profound influence in many domains and disciplines in the past decade. Comm...
Network methods have had profound influence in many domains and disciplines in the past decade. Comm...
Network methods have had profound influence in many domains and disciplines in the past decade. Comm...
The community structures commonly exist in real-world networks such as brain networks, social networ...
The investigation of community structures in networks is an important issue in many domains and disc...
International audienceThe problem of local community detection in graphs refers to the identificatio...
International audienceThe problem of node-centric, or local, community detection in information netw...
Many complex systems are composed of coupled networks through different layers, where each layer rep...
In this work, we propose a new approach for clustering multilayer and attributed networks, which cap...
Community detection aims to find dense subgraphs in a network. We consider the problem of finding a ...
Detecting community structure is an important methodology to study complex networks. Community detec...
Community detection aims to find dense subgraphs in a network. We consider the problem of finding a ...
International audienceCommunity detection in single layer, isolated networks has been extensively st...
The community structures commonly exist in real-world networks such as brain networks, social networ...
Detecting community structure is an important methodology to study complex networks. Community detec...
Network methods have had profound influence in many domains and disciplines in the past decade. Comm...
Network methods have had profound influence in many domains and disciplines in the past decade. Comm...
Network methods have had profound influence in many domains and disciplines in the past decade. Comm...
The community structures commonly exist in real-world networks such as brain networks, social networ...
The investigation of community structures in networks is an important issue in many domains and disc...