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检索条件"主题词=community detection algorithms"
61 条 记 录,以下是41-50 订阅
排序:
Segmentation of large images based on super-pixels and community detection in graphs
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IET IMAGE PROCESSING 2017年 第12期11卷 1219-1228页
作者: Linares, Oscar A. C. Botelho, Glenda Michele Rodrigues, Francisco Aparecido Batista Neto, Joao Univ Sao Paulo Inst Ciencias Matemat & Comp Campus Sao CarlosCaixa Postal 668 BR-13560970 Sao Carlos SP Brazil Univ Fed Tocantins Palmas Brazil
Image segmentation has many applications which range from machine learning to medical diagnosis. In this study, the authors propose a framework for the segmentation of images based on super-pixels and algorithms for c... 详细信息
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An efficient method for mining the maximal alpha-quasi-clique-community of a given node in complex networks
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SOCIAL NETWORK ANALYSIS AND MINING 2018年 第1期8卷 1-18页
作者: Conde-Cespedes, Patricia Ngonmang, Blaise Viennet, Emmanuel ISEP LISITE 10 Rue Vanves F-92130 Issy Les Moulineaux France Univ Paris 13 L2TI 99 Ave Jean Baptiste Clement F-93430 Villetaneuse France
Detecting communities in large complex networks is important to understand their structure and to extract features useful for visualization or prediction of various phenomena like the diffusion of information or the d... 详细信息
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Revealing in-block nestedness: detection and benchmarking
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Physical Review E 2018年 第6期97卷 062302-062302页
作者: Albert Solé-Ribalta Claudio J. Tessone Manuel S. Mariani Javier Borge-Holthoefer Internet Interdisciplinary Institute (IN3) Universitat Oberta de Catalunya 08860 Barcelona Catalonia Spain and Institute for Biocomputation and Physics of Complex Systems (BIFI) Universidad de Zaragoza 50018 Zaragoza Spain
As new instances of nested organization—beyond ecological networks—are discovered, scholars are debating the coexistence of two apparently incompatible macroscale architectures: nestedness and modularity. The discus... 详细信息
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Algorithmic detectability threshold of the stochastic block model
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Physical Review E 2018年 第3期97卷 032301-032301页
作者: Tatsuro Kawamoto Artificial Intelligence Research Center National Institute of Advanced Industrial Science and Technology 2-3-26 Aomi Koto-ku Tokyo Japan
The assumption that the values of model parameters are known or correctly learned, i.e., the Nishimori condition, is one of the requirements for the detectability analysis of the stochastic block model in statistical ... 详细信息
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Magnetic eigenmaps for community detection in directed networks
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Physical Review E 2017年 第2期95卷 022302-022302页
作者: Michaël Fanuel Carlos M. Alaíz Johan A. K. Suykens Department of Electrical Engineering (ESAT) and STADIUS Center for Dynamical Systems Signal Processing and Data Analytics KU Leuven Kasteelpark Arenberg 10 B-3001 Leuven Belgium
Communities in directed networks have often been characterized as regions with a high density of links, or as sets of nodes with certain patterns of connection. Our approach for community detection combines the optimi... 详细信息
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Stochastic graph Voronoi tessellation reveals community structure
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Physical Review E 2017年 第2期95卷 022306-022306页
作者: Zsolt I. Lázár István Papp Levente Varga Ferenc Járai-Szabó Dávid Deritei Mária Ercsey-Ravasz Faculty of Physics Babeş-Bolyai University Cluj-Napoca Romania Department of Network Science Central European University Hungary Romanian Institute of Science and Technology Cluj-Napoca Romania
Given a network, the statistical ensemble of its graph-Voronoi diagrams with randomly chosen cell centers exhibits properties convertible into information on the network's large scale structures. We define a node-... 详细信息
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Efficient community detection of network flows for varying Markov times and bipartite networks
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Physical Review E 2016年 第3期93卷 032309-032309页
作者: Masoumeh Kheirkhahzadeh Andrea Lancichinetti Martin Rosvall Department of IT and Computer Engineering Iran University of Science and Technology Teheran Iran Integrated Science Lab Department of Physics Umeå University SE-901 87 Umeå Sweden
community detection of network flows conventionally assumes one-step dynamics on the links. For sparse networks and interest in large-scale structures, longer timescales may be more appropriate. Oppositely, for large ... 详细信息
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community detection in networks with unequal groups
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Physical Review E 2016年 第1期93卷 012303-012303页
作者: Pan Zhang Cristopher Moore M. E. J. Newman Santa Fe Institute Santa Fe New Mexico 87501 USA State Key Laboratory of Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences Beijing 100190 China Physics Department and the Center for the Study of Complex Systems University of Michigan Ann Arbor Michigan 48109 USA
Recently, a phase transition has been discovered in the network community detection problem below which no algorithm can tell which nodes belong to which communities with success any better than a random guess. This r... 详细信息
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Overlapping community detection using neighborhood ratio matrix
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PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 2015年 421卷 510-521页
作者: Eustace, Justine Wang, Xingyuan Cui, Yaozu Dalian Univ Technol Fac Elect Informat & Elect Engn Dalian 116024 Peoples R China
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 community affiliation, correctly. In this paper, a... 详细信息
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Semantic Divergence based Evaluation of Web Service Communities
Semantic Divergence based Evaluation of Web Service Communit...
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13th IEEE International Conference on Services Computing (SCC)
作者: Naim, Hafida Aznag, Mustapha Quafafou, Mohamed Durand, Nicolas Aix Marseille Univ CNRS UMR 7296 LSIS F-13397 Marseille France
The number of community detection algorithms is growing continuously adopting a topological based approach to discover optimal subgraphs or communities. In this paper, we propose a new method combining both topology a... 详细信息
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