Oct 19, 2020 · The k-truss model has been widely used to measure the cohesiveness of subgraphs. Most existing studies about k-truss focus on unsigned graphs. ...
May 24, 2024 · To better describe the communities, we propose a novel model, named signed k-truss, which leverages the properties of k-truss and balanced ...
Oct 23, 2020 · To better describe the communities, we propose a novel model, named signed. k-truss, which leverages the properties of k-truss and balanced tri-.
This paper uses the k-truss model to measure the stability of a social network, and proposes two novel problems named k-truss minimization problem and ...
In the literature, there are various cohesive subgraph models proposed to apply to different scenarios, such as k-core [5,21], k-truss [15, 31] , k-ECC [9,32], ...
Community Identification in Signed Networks: A K-Truss Based Model. Jun Zhao, Renjie Sun, Qiuyu Zhu, Xiaoyang Wang, Chen Chen. Anthology ID: DBLP:conf/cikm ...
May 24, 2024 · To better describe the communities, we propose a novel model, named signed k-truss, which leverages the properties of k-truss and balanced ...
A new multi-objective signed community detection model and a new anti-frustration heuristic operator are introduced.
Here we consider k-truss, a more relaxed model. k-truss Based Models. There are a few recent works that at- tempt adapting the k-truss model for signed networks ...
We review the k-truss algorithm for community detection in networks. The k-truss is an efficient clustering algorithm that holds advantageous properties for ...
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