Multilayer network simplification: approaches, models and methods
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 …
interconnected entities where both the entities and their connections can be of different …
Feature-rich networks: going beyond complex network topologies
The growing availability of multirelational data gives rise to an opportunity for novel
characterization of complex real-world relations, supporting the proliferation of diverse …
characterization of complex real-world relations, supporting the proliferation of diverse …
A survey of community detection methods in multilayer networks
X Huang, D Chen, T Ren, D Wang - Data Mining and Knowledge …, 2021 - Springer
Community detection is one of the most popular researches in a variety of complex systems,
ranging from biology to sociology. In recent years, there's an increasing focus on the rapid …
ranging from biology to sociology. In recent years, there's an increasing focus on the rapid …
A community detection algorithm based on graph compression for large-scale social networks
X Zhao, J Liang, J Wang - Information Sciences, 2021 - Elsevier
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 …
social network analysis. To solve this problem, many community detection algorithms for the …
A survey about community detection over On-line Social and Heterogeneous Information Networks
Abstract In modern Online Social Networks (OSNs), the need to detect users' communities
based on their interests and social connections has became a more and more important …
based on their interests and social connections has became a more and more important …
Local community detection in multiple networks
Local community detection aims to find a set of densely-connected nodes containing given
query nodes. Most existing local community detection methods are designed for a single …
query nodes. Most existing local community detection methods are designed for a single …
Cs-mlgcn: Multiplex graph convolutional networks for community search in multiplex networks
Community Search (CS) is one of the fundamental tasks in network science and has
attracted much attention due to its ability to discover personalized communities with a wide …
attracted much attention due to its ability to discover personalized communities with a wide …
Cs-tgn: Community search via temporal graph neural networks
Searching for local communities is an important research challenge that allows for
personalized community discovery and supports advanced data analysis in various complex …
personalized community discovery and supports advanced data analysis in various complex …
Community detection in protein-protein interaction networks and applications
I Manipur, M Giordano, M Piccirillo… - IEEE/ACM …, 2021 - ieeexplore.ieee.org
The ability to identify and characterize not only the protein-protein interactions but also their
internal modular organization through network analysis is fundamental for understanding …
internal modular organization through network analysis is fundamental for understanding …
Core decomposition in multilayer networks: Theory, algorithms, and applications
Multilayer networks are a powerful paradigm to model complex systems, where multiple
relations occur between the same entities. Despite the keen interest in a variety of tasks …
relations occur between the same entities. Despite the keen interest in a variety of tasks …