Results 21 to 30 of about 9,790,052 (309)
Exploring 3D community inconsistency in human chromosome contact networks
Journal of Physics: Complexity, 2023 Researchers have developed chromosome capture methods such as Hi-C to better understand DNA’s 3D folding in nuclei. The Hi-C method captures contact frequencies between DNA segment pairs across the genome.
Dolores Bernenko +2 more
doaj +1 more source
Benchmark graphs for testing community detection algorithms. [PDF]
Physical review. E, Statistical, nonlinear, and soft matter physics, 2008 Community structure is one of the most important features of real networks and reveals the internal organization of the nodes. Many algorithms have been proposed but the crucial issue of testing, i.e., the question of how good an algorithm is, with ...
A. Lancichinetti +2 more
semanticscholar +1 more source
A Survey of Community Detection in Complex Networks Using Nonnegative Matrix Factorization
IEEE Transactions on Computational Social Systems, 2022 Community detection is one of the popular research topics in the field of complex networks analysis. It aims to identify communities, represented as cohesive subgroups or clusters, where nodes in the same community link to each other more densely than ...
Chaobo He +5 more
semanticscholar +1 more source
Deep Community Detection [PDF]
IEEE Transactions on Signal Processing, 2015 15 pages, 13 figures, journal submission and supplementary file (Figures 11-13), to appear in IEEE Transactions on Signal ...
Pin-Yu Chen, Alfred O. Hero III
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Community Detection on the GPU [PDF]
2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2017 We present and evaluate a new GPU algorithm based on the Louvain method for community detection. Our algorithm is the first for this problem that parallelizes the access to individual edges. In this way we can fine tune the load balance when processing networks with nodes of highly varying degrees.
Md. Naim +3 more
openaire +3 more sources
Resolution limit in community detection [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2006 Detecting community structure is fundamental for uncovering the links between structure and function in complex networks and for practical applications in many disciplines such as biology and sociology.
S. Fortunato, M. Barthelemy
semanticscholar +1 more source
Anomaly detection and community detection in networks
Journal of Big Data, 2022 AbstractAnomaly detection is a relevant problem in the area of data analysis. In networked systems, where individual entities interact in pairs, anomalies are observed when pattern of interactions deviates from patterns considered regular. Properly defining what regular patterns entail relies on developing expressive models for describing the observed ...
Hadiseh Safdari, Caterina De Bacco
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Health Education Program for Nurses Regarding Patient Navigation [PDF]
Egyptian Journal of Health CareBackground: Patient navigation is a patient-centered approach designed to guide individuals through the often complex and fragmented healthcare system. Aim: This study evaluated health education program for nurses regarding patient Navigation.
Sahar Mahmoud S. El Awady +3 more
doaj +1 more source
An Improved Louvain Algorithm for Community Detection
Mathematical Problems in Engineering, 2021 Social network analysis has important research significance in sociology, business analysis, public security, and other fields. The traditional Louvain algorithm is a fast community detection algorithm with reliable results. The scale of complex networks
Jicun Zhang +3 more
semanticscholar +1 more source
Frontiers in Marine Science, 2020 Connectivity between coral reefs is critical to ensure their resilience and persistence against disturbances. It is driven by ocean currents, which often have very complex patterns within reef systems.
Charles Frys +11 more
doaj +1 more source