Results 51 to 60 of about 9,790,052 (309)
Bayesian Analysis, 2018 We introduce a Bayesian estimator of the underlying class structure in the stochastic block model, when the number of classes is known. The estimator is the posterior mode corresponding to a Dirichlet prior on the class proportions, a generalized Bernoulli prior on the class labels, and a beta prior on the edge probabilities.
Pas, S.L. van der, Vaart, A.W. van der
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A novel community detection based genetic algorithm for feature selection [PDF]
Journal of Big Data, 2020 The feature selection is an essential data preprocessing stage in data mining. The core principle of feature selection seems to be to pick a subset of possible features by excluding features with almost no predictive information as well as highly ...
M. Rostami +2 more
semanticscholar +1 more source
Post-Processing Partitions to Identify Domains of Modularity Optimization
Algorithms, 2017 We introduce the Convex Hull of Admissible Modularity Partitions (CHAMP) algorithm to prune and prioritize different network community structures identified across multiple runs of possibly various computational heuristics.
William H. Weir +4 more
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A paradox in community detection [PDF]
EPL (Europhysics Letters), 2014 Recent research has shown that virtually all algorithms aimed at the identification of communities in networks are affected by the same main limitation: the impossibility to detect communities, even when these are well-defined, if the average value of the difference between internal and external node degrees does not exceed a strictly positive value ...
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IEEE Transactions on Big Data, 2021 Community detection is of great help to understand the structures and functions of complex networks. It has become one of popular research topics in the field of complex networks analysis.
Chaobo He +5 more
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Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition [PDF]
Annals of Statistics, 2020 We study the problem of community detection in multi-layer networks, where pairs of nodes can be related in multiple modalities. We introduce a general framework, i.e., mixture multi-layer stochastic block model (MMSBM), which includes many earlier ...
Bing-Yi Jing +3 more
semanticscholar +1 more source
Computers, 2023 The rapid dissemination of misinformation on social networks, particularly during public health crises like the COVID-19 pandemic, has become a significant concern.
Zafer Duzen +2 more
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Metrics Matter in Community Detection [PDF]
, 2019 We present a critical evaluation of normalized mutual information (NMI) as an evaluation metric for community detection. NMI exaggerates the leximin method's performance on weak communities: Does leximin, in finding the trivial singletons clustering, truly outperform eight other community detection methods?
Arya D. McCarthy +3 more
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Co-Community Network Analysis Reveals Alterations in Brain Networks in Alzheimer’s Disease
Brain SciencesBackground: Alzheimer’s disease (AD) is a common neurodegenerative disease. Functional magnetic resonance imaging (fMRI) can be used to measure the temporal correlation of blood-oxygen-level-dependent (BOLD) signals in the brain to assess the brain’s ...
Xiaodong Wang +3 more
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Learner2Vec-Based Learner Community Evolution Analysis–A Case Study Involving Student Card Data
IEEE Access, 2019 The learner community evolution analysis is an important technique in the area of social network analysis and education management. Accurately expressing the complex characteristics of individual social behavior is the core problem associated with ...
Chao Li +4 more
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