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检索条件"主题词=community detection algorithms"
61 条 记 录,以下是31-40 订阅
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Local topological moves determine global diffusion properties of hyperbolic higher-order networks
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Physical Review E 2021年 第5期104卷 054302-054302页
作者: Ana P. Millán Reza Ghorbanchian Nicolò Defenu Federico Battiston Ginestra Bianconi Amsterdam UMC Vrije Universiteit Amsterdam Department of Clinical Neurophysiology and MEG Center Amsterdam Neuroscience De Boelelaan 1117 Amsterdam The Netherlands School of Mathematical Sciences Queen Mary University of London Mile End Road E1 4NS London United Kingdom Institute for Theoretical Physics ETH Zürich Wolfgang-Pauli-Str. 27 8093 Zurich Switzerland Department of Network and Data Science Central European University 1100 Vienna Austria The Alan Turing Institute British Library 96 Euston Road NW1 2DB London United Kingdom
From social interactions to the human brain, higher-order networks are key to describe the underlying network geometry and topology of many complex systems. While it is well known that network structure strongly affec... 详细信息
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Detecting brain network communities: Considering the role of information flow and its different temporal scales
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NEUROIMAGE 2021年 225卷 117431-117431页
作者: Sanchez-Rodriguez, Lazaro M. Iturria-Medina, Yasser Mouches, Pauline Sotero, Roberto C. Univ Calgary Dept Radiol 3330 Hosp Dr NW Calgary AB T2N 4N1 Canada Univ Calgary Hotchkiss Brain Inst 3330 Hosp Dr NW Calgary AB T2N 4N1 Canada McGill Univ Montreal Neurol Inst Dept Neurol & Neurosurg Montreal PQ Canada McGill Univ McConnel Brain Imaging Ctr Montreal Neurol Inst Montreal PQ Canada McGill Univ Ludmer Ctr Neuroinformat & Mental Hlth Montreal PQ Canada Univ Calgary Biomed Engn Grad Program Calgary AB Canada
The identification of community structure in graphs continues to attract great interest in several fields. Network neuroscience is particularly concerned with this problem considering the key roles communities play in... 详细信息
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Relational flexibility of network elements based on inconsistent community detection
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Physical Review E 2019年 第2期100卷 022311-022311页
作者: Heetae Kim (김희태) Sang Hoon Lee (이상훈) Department of Industrial Engineering Universidad de Talca Curicó 3341717 Chile Asia Pacific Center for Theoretical Physics Pohang 37673 Korea Department of Liberal Arts Gyeongnam National University of Science and Technology Jinju 52725 Korea
community identification of network components enables us to understand the mesoscale clustering structure of networks. A number of algorithms have been developed to determine the most likely community structures in n... 详细信息
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Hierarchical clustering of bipartite data sets based on the statistical significance of coincidences
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Physical Review E 2020年 第4期102卷 042304-042304页
作者: Ignacio Tamarit María Pereda José A. Cuesta Grupo Interdisciplinar de Sistemas Complejos (GISC) Departamento de Matemáticas de la Universidad Carlos III de Madrid Leganés Spain Unidad Mixta Interdisciplinar de Comportamiento y Complejidad Social (UMICCS) Madrid Spain Grupo de Investigación Ingeniería de Organización y Logística (IOL) Escuela Técnica Superior de Ingenieros Industriales Universidad Politécnica de Madrid Madrid Spain Instituto de Biocomputación y Física de Sistemas Complejos (BIFI) Universidad de Zaragoza Zaragoza Spain UC3M-Santander Big Data Institute (IBiDat) Getafe Spain
When some ‘entities’ are related by the ‘features’ they share they are amenable to a bipartite network representation. Plant-pollinator ecological communities, co-authorship of scientific papers, customers and pur... 详细信息
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Item and domain network structures of the Resilience Scale for Adults in 675 university students
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EPIDEMIOLOGY AND PSYCHIATRIC SCIENCES 2020年 29卷 e33-e33页
作者: Briganti, G. Linkowski, P. Univ Libre Bruxelles Sch Publ Hlth Dept Clin Epidemiol & Biostat Route Lennik 808 B-1070 Brussels Belgium Ecole Super Sante Dept Pathophysiol Pl Chateau 3 CH-1014 Lausanne Switzerland
Aims. The Resilience Scale for Adults (RSA) is a questionnaire that measures protective factors of mental health. The aim of this paper is to perform a network analysis of the RSA in a dataset composed of 675 French-s... 详细信息
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Fragility of spectral clustering for networks with an overlapping structure
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Physical Review Research 2020年 第4期2卷 043101-043101页
作者: Chihiro Noguchi Tatsuro Kawamoto Artificial Intelligence Research Center National Institute of Advanced Industrial Science and Technology 2-3-26 Aomi Koto-ku Tokyo Japan
Overlapping communities are commonly observed in real-world networks. This is a motivation to develop overlapping community detection methods, because methods for nonoverlapping communities may not perform well. Howev... 详细信息
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On the community Discovery Methods for Complex Networks: A Case Study
On the Community Discovery Methods for Complex Networks: A C...
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Federated Conference on Computer Science and Information Systems (FedCSIS)
作者: Kirubel W. Afrassa Genco Cosgun Ulku F. Gursoy Enes M. Yildiz Mehmet S. Aktas Computer Engineering Dept. Yildiz Technical University Istanbul Turkey R&D Center Intellica Business Intelligence Consultancy Istanbul Turkey
The inherent knowledge discovery problem regarding networks that represent complex real world phenomenon is a popular research topic. Specifically, in social network analysis (SNA), several community discovery techniq... 详细信息
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Efficient detection of Overlapping Communities Using Asymmetric Triangle Cuts
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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 2018年 第11期30卷 2093-2105页
作者: Rezvani, Mojtaba Liang, Weifa Liu, Chengfei Yu, Jeffrey Xu Australian Natl Univ Res Sch Comp Sci Canberra ACT 2601 Australia Swinburne Univ Technol Dept Comp Sci & Software Engn Hawthorn Vic 3122 Australia Chinese Univ Hong Kong Dept Syst Engn & Engn Management Hong Kong Hong Kong Peoples R China
Real social networks contain many communities, where members within each community are densely connected with each other, while they are sparsely connected with the members outside of the community. Since each member ... 详细信息
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Comparative analysis on the selection of number of clusters in community detection
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Physical Review E 2018年 第2期97卷 022315-022315页
作者: Tatsuro Kawamoto Yoshiyuki Kabashima Artificial Intelligence Research Center National Institute of Advanced Industrial Science and Technology 2-3-26 Aomi Koto-ku Tokyo Japan Department of Mathematical and Computing Science Tokyo Institute of Technology W8-45 2-12-1 Ookayma Meguro-ku Tokyo Japan
We conduct a comparative analysis on various estimates of the number of clusters in community detection. An exhaustive comparison requires testing of all possible combinations of frameworks, algorithms, and assessment... 详细信息
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An upper approximation based community detection algorithm for complex networks
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DECISION SUPPORT SYSTEMS 2017年 96卷 103-118页
作者: Kumar, Pradeep Gupta, Samtat Bhasker, Bharat Indian Inst Management Lucknow IT & Syst Dept Lucknow Uttar Pradesh India
The emergence of multifarious complex networks has attracted researchers and practitioners from various disciplines. Discovering cohesive subgroups or communities in complex networks is essential to understand the dyn... 详细信息
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