Results 11 to 20 of about 9,790,052 (309)
CLARE: A Semi-supervised Community Detection Algorithm [PDF]
Knowledge Discovery and Data Mining, 2022 Community detection refers to the task of discovering closely related subgraphs to understand the networks. However, traditional community detection algorithms fail to pinpoint a particular kind of community.
Xixi Wu +7 more
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Bayesian Community Detection [PDF]
Neural Computation, 2012 Many networks of scientific interest naturally decompose into clusters or communities with comparatively fewer external than internal links; however, current Bayesian models of network communities do not exert this intuitive notion of communities.
Morten Mørup, Mikkel N. Schmidt
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Community detection in graphs [PDF]
arXiv.org, 2009 The modern science of networks has brought significant advances to our understanding of complex systems. One of the most relevant features of graphs representing real systems is community structure, or clustering, i.e.
S. Fortunato
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Frontiers in Physics, 2022 With the expansion of globalization, the internationalization of education has become an essential strategy for developing in various countries. To obtain higher education, more and more students decide to study abroad.
Mingwei Cui +4 more
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Community detection and stochastic block models: recent developments [PDF]
Foundations and Trends in Communications and Information Theory, 2017 The stochastic block model (SBM) is a random graph model with planted clusters. It is widely employed as a canonical model to study clustering and community detection, and provides generally a fertile ground to study the statistical and computational ...
E. Abbe
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Community detection in networks: A user guide [PDF]
arXiv.org, 2016 Community detection in networks is one of the most popular topics of modern network science. Communities, or clusters, are usually groups of vertices having higher probability of being connected to each other than to members of other groups, though other
S. Fortunato, Darko Hric
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Criminal Network Community Detection Using Graphical Analytic Methods: A Survey [PDF]
EAI Endorsed Transactions on Energy Web, 2020 Criminal networks analysis has attracted several numbers of researchers as network analysis gained its popularity among professionals and researchers. In this study, we have presented a comprehensive review of community detection methods based on graph ...
Theyvaa Sangkaran +2 more
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From community detection to community profiling [PDF]
Proceedings of the VLDB Endowment, 2017 Most existing community-related studies focus on detection, which aim to find the community membership for each user from user friendship links. However, membership alone, without a complete profile of what a community is and how it interacts with other communities, has limited applications.
Hongyun Cai 0001 +4 more
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Community Detection in Multiplex Networks [PDF]
ACM Computing Surveys, 2021 A multiplex network models different modes of interaction among same-type entities. In this article, we provide a taxonomy of community detection algorithms in multiplex networks. We characterize the different algorithms based on various properties and we discuss the type of communities detected by each method. We then provide an extensive experimental
Magnani, Matteo +4 more
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Community Detection Algorithms in Healthcare Applications: A Systematic Review
IEEE Access, 2023 Over the past few years, the number and volume of data sources in healthcare databases has grown exponentially. Analyzing these voluminous medical data is both opportunity and challenge for knowledge discovery in health informatics.
Mehrdad Rostami +3 more
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