Community detection in networks: A multidisciplinary review
The modern science of networks has made significant advancement in the modeling of
complex real-world systems. One of the most important features in these networks is the …
complex real-world systems. One of the most important features in these networks is the …
Overlapping community detection in networks: The state-of-the-art and comparative study
J Xie, S Kelley, BK Szymanski - Acm computing surveys (csur), 2013 - dl.acm.org
This article reviews the state-of-the-art in overlapping community detection algorithms,
quality measures, and benchmarks. A thorough comparison of different algorithms (a total of …
quality measures, and benchmarks. A thorough comparison of different algorithms (a total of …
Efficient and principled method for detecting communities in networks
B Ball, B Karrer, MEJ Newman - Physical Review E—Statistical, Nonlinear, and …, 2011 - APS
A fundamental problem in the analysis of network data is the detection of network
communities, groups of densely interconnected nodes, which may be overlapping or …
communities, groups of densely interconnected nodes, which may be overlapping or …
复杂网络社团发现算法研究新进展
骆志刚， 丁凡， 蒋晓舟， 石金龙 - 2011 - journal.nudt.edu.cn
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: 骆志刚,丁凡,蒋晓舟,等.复杂网络社团发现算法研究新进展.[J].国防科技大学学报,2011,33(1):47-52.[点击 …
: 骆志刚,丁凡,蒋晓舟,等.复杂网络社团发现算法研究新进展.[J].国防科技大学学报,2011,33(1):47-52.[点击 …
Overlapping community detection in complex networks using symmetric binary matrix factorization
Discovering overlapping community structures is a crucial step to understanding the
structure and dynamics of many networks. In this paper we develop a symmetric binary …
structure and dynamics of many networks. In this paper we develop a symmetric binary …
Identifying overlapping communities as well as hubs and outliers via nonnegative matrix factorization
Community detection is important for understanding networks. Previous studies observed
that communities are not necessarily disjoint and might overlap. It is also agreed that some …
that communities are not necessarily disjoint and might overlap. It is also agreed that some …
FLPA: A fast label propagation algorithm for detecting overlapping community structure
R Yan, W Yuan, X Su, Z Zhang - Expert Systems with Applications, 2023 - Elsevier
In complex networks, there are a huge number of overlapping community structures, and
those structures have been an increasing concern in recent years. The label propagation …
those structures have been an increasing concern in recent years. The label propagation …
Community detection method using improved density peak clustering and nonnegative matrix factorization
H Lu, Z Shen, X Sang, Q Zhao, J Lu - Neurocomputing, 2020 - Elsevier
Community detection in networks is valuable in analyzing, designing, and optimizing
complex network. Recently, the nonnegative matrix factorization (NMF) method has …
complex network. Recently, the nonnegative matrix factorization (NMF) method has …
Overlapping community detection using neighborhood ratio matrix
J Eustace, X Wang, Y Cui - Physica A: Statistical Mechanics and its …, 2015 - Elsevier
The participation of a node in more than one community is a common phenomenon in
complex networks. However most existing methods, fail to identify nodes with multiple …
complex networks. However most existing methods, fail to identify nodes with multiple …
Node-community membership diversifies community structures: An overlapping community detection algorithm based on local expansion and boundary re-checking
X Ding, J Zhang, J Yang - Knowledge-Based Systems, 2020 - Elsevier
Local expansion methods excel in efficiency for mining overlapping communities in real-
world networks. However, two problems prevent such methods from identifying diversely …
world networks. However, two problems prevent such methods from identifying diversely …