The main study focuses on the importance of having robust algorithm in detecting communities in different type of complex network. Experimental results show ...
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Dec 16, 2019 · Here, we first focus on generative models of communities in complex networks and their role in developing strong foundation for community detection algorithms.
This paper proposes a novel community detection method, in which the community structure of the simplified network is detected.
Discovering communities in complex networks by edge label propagation
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Mar 1, 2016 · Among them, the dynamic label propagation algorithm is a widely used node community detection method. It updates the label of each node based on ...
Abstract. Community structure discovery in complex networks is a quite challenging problem spanning many applications in various disciplines such as biology ...
In this section, a community detection method is proposed via combining the edge and triangular motif information, which can further detect high-quality ...
Missing: Discovering | Show results with:Discovering
Dec 7, 2020 · The idea of hierarchical clustering algorithm is to cluster nodes by layer-by-layer iteration to achieve community detection of the network.
Mar 5, 2024 · Stochastic block models are a particular class of probabilistic network models which have turned out to be extremely useful for community discovery.
Mar 23, 2021 · In this paper, we present a method to uncover weak communities in a network by weakening the strength of the dominant structure.
The goal of community detection algorithms is to identify densely connected units within large networks. An implicit assumption is that all the constituent ...