Feb 27, 2024 · TI-SC: top-k influential nodes selection based on community detection and scoring criteria in social networks. Article. Full-text available.
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Apr 13, 2018 · In this paper, we develop a novel community-detection method based on cliques, ie, local complete subnetworks.
A multiplex network models different modes of interaction among same-type entities. In this article we provide a taxonomy of community detection algorithms ...
Aug 31, 2019 · As a result, LOCN can not only learn the graph Laplacian with a good data fit but also detect the underlying network communities with high ...
The local community is the community in the network to which a given starting node belongs. Some local community detection methods have been proposed. However, ...
Jul 12, 2019 · The “Overlapping Modular Centrality” is a two-dimensional measure that quantifies the local and global influence of overlapping and non-overlapping nodes.
In this paper, we propose (1) a new node similarity-based encoding method to represent a network partition as an individual named MST-based.
Mar 4, 2024 · Statistical analysis and node clustering in hypergraphs constitute an emerging topic suffering from a lack of standardization.
A generalized stochastic block model for overlapping community detection
iopscience.iop.org › article
Jun 3, 2024 · In this paper, we introduce a novel approach, called the generalized stochastic block model, to address this issue by allowing nodes to belong to multiple ...
In this work, we study the problem of community detection in the stochastic block model with adversarial node corruptions. Our main result is an efficient ...