Feb 1, 2024 · A bipartite graph is a special type of graph that consists of two disjoint sets of nodes, where each node of one set is connected to nodes in ...
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Apr 20, 2021 · In this mini review, we give a theoretical basis of different methods that can be applied to detect communities in bipartite biological networks.
CONDOR is a tool for community detection in bipartite networks. Many community detection methods for unipartite networks are based on the concept of maximizing ...
Oct 10, 2023 · I'm currently working on a project where I need to perform community detection using the Louvain algorithm on a bipartite graph in Neo4j.
Sep 9, 2021 · Bipartite graphs are widely used to model relationships between two types of entities. Community search retrieves densely connected ...
Experimental results show that our biLouvain algorithm identifies robust community structures that have a comparable or better quality (as measured by bipartite ...
In this paper, we propose a two-stage method for detecting community structure in bipartite networks. Firstly, we extend the widely-used Louvain algorithm to ...
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Dec 17, 2014 · We will provide a justification with theoretical rigor for looking at the k largest eigenvalues of L to find multiple bipartite communities in ...
Apr 21, 2021 · Community structure detection is a method used to identify clusters of nodes in a network. This approach is especially helpful in large-scale biological ...
Apr 25, 2020 · A bipartite community is a pair of disjoint vertex sets S, S ′ such that the number of edges with one endpoint in S and the other endpoint in S ...