To identify communities in directed networks, we propose an undirected edge-weighting scheme based on directed trian- gles. We also propose a new metric on quality of the com- munities that is based on the number of 3-cycles that are split across communities.
Apr 23, 2014 · Our new idea is based on the four types of directed triangles that contain cycles. To identify communities in directed networks, then, we ...
Apr 23, 2014 · In a graph, a community may be loosely defined as a group of nodes that are more closely connected to one.
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This work proposes an undirected edge-weighting scheme based on directed trian- gles that improves a task where plausible ground-truth communities are known ...
In this section, a community detection method is proposed via combining the edge and triangular motif information, which can further detect high-quality ...
In this paper we propose an interactive visualization approach relying on our application NLCOMS, which uses synchronous and related views for graph and ...
Feb 19, 2021 · 1 Answer 1 ... You can use the Leiden algorithm from the Python package leidenalg , which should be even faster than the Louvain algorithm that ...
Missing: Triangles | Show results with:Triangles
Jul 3, 2020 · In this paper, we focus on the problem of community detection by normalized-cut graph partitioning. The standard normalized-cut graph ...
Mar 30, 2024 · This method can be naturally generalized to address directed or undirected higher-order structures other than the triangle. Second, our main ...
Abstract. Community detection for uncovering the hidden community structure in large networks is an important task in analyzing complex networks. Most of.