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检索条件"主题词=community detection algorithms"
61 条 记 录,以下是21-30 订阅
排序:
Determining the best algorithm to detect community structures in networks: application to power systems
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Environment Systems and Decisions 2022年 第2期42卷 251-264页
作者: Rocco, Claudio M. Barker, Kash Moronta, Jose Facultad de Ingeniería Universidad Central de Venezuela Caracas Venezuela School of Industrial and Systems Engineering University of Oklahoma 202 W. Boyd St. Rm. 124 Norman 73019 OK United States Departamento de Tecnología Industrial Universidad Simón Bolívar Caracas Venezuela
A common feature of many networks is the presence of communities, or groups of relatively densely connected nodes with sparse connections between groups. An understanding of community structures could enable the netwo... 详细信息
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Spectral properties of the Laplacian of temporal networks following a constant block Jacobi model
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Physical Review E 2024年 第6期109卷 064309-064309页
作者: Zhana Kuncheva Ognyan Kounchev Data Science and Engineering Optima Partners London UK WC1X 8HN Bulgarian Academy of Sciences Sofia 1113 Bulgaria
We study the behavior of the eigenvectors associated with the smallest eigenvalues of the Laplacian matrix of temporal networks. We consider the multilayer representation of temporal networks, i.e., a set of networks ... 详细信息
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community Analysis of a Crisis Response Network
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SOCIAL SCIENCE COMPUTER REVIEW 2021年 第3期39卷 371-390页
作者: Kim, Yushim Kim, Jihong Oh, Seong Soo Kim, Sang-Wook Ku, Minyoung Cha, Jaehyuk Arizona State Univ Sch Publ Affairs Phoenix AZ USA Hanyang Univ Dept Comp Sci & Engn Seoul South Korea Hanyang Univ 222 Wangshimni Ro Seoul 04763 South Korea Hanyang Univ Dept Comp & Software Seoul South Korea John Jay Coll New York NY USA
This article distinguishes between clique family subgroups and communities in a crisis response network. Then, we examine the way organizations interacted to achieve a common goal by employing community analysis of an... 详细信息
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Network homophily via tail inequalities
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Physical Review E 2023年 第5期108卷 054130-054130页
作者: Nicola Apollonio Paolo G. Franciosa Daniele Santoni Istituto per le Applicazioni del Calcolo “Mauro Picone” Consiglio Nazionale delle Ricerche Via dei Taurini 19 00185 Rome Italy Dipartimento di Scienze Statistiche Università di Roma “La Sapienza” Piazzale Aldo Moro 5 00185 Rome Italy Istituto di Analisi dei Sistemi ed Informatica “Antonio Ruberti ” Consiglio Nazionale delle Ricerche Via dei Taurini 19 00185 Rome Italy
Homophily is the principle whereby “similarity breeds connections.” We give a quantitative formulation of this principle within networks. Given a network and a labeled partition of its vertices, the vector indexed b... 详细信息
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Generative model for reciprocity and community detection in networks
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Physical Review Research 2021年 第2期3卷 023209-023209页
作者: Hadiseh Safdari Martina Contisciani Caterina De Bacco Max Planck Institute for Intelligent Systems Cyber Valley Tuebingen 72076 Germany
We present a probabilistic generative model and efficient algorithm to model reciprocity in directed networks. Unlike other methods that address this problem such as exponential random graphs, it assigns latent variab... 详细信息
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Colloquium: Multiscale modeling of brain network organization
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Reviews of Modern Physics 2022年 第3期94卷 031002-031002页
作者: Charley Presigny Fabrizio De Vico Fallani Sorbonne Université Institut du Cerveau—Paris Brain Institute—ICM CNRS Inria Inserm AP-HP Hôpital de la Pitié Salpêtrière F-75013 Paris France
A complete understanding of the brain requires an integrated description of the numerous scales and levels of neural organization. This means studying the interplay of genes and synapses, but also the relation between... 详细信息
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Large deviations of semisupervised learning in the stochastic block model
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Physical Review E 2022年 第3期105卷 034108-034108页
作者: Hugo Cui Luca Saglietti Lenka Zdeborová SPOC Laboratory Physics Department École Polytechnique Fédérale de Lausanne 1015 Lausanne Switzerland
In semisupervised community detection, the membership of a set of revealed nodes is known in addition to the graph structure and can be leveraged to achieve better inference accuracies. While previous works investigat... 详细信息
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Role extraction for digraphs via neighborhood pattern similarity
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Physical Review E 2022年 第5期106卷 054301-054301页
作者: Giovanni Barbarino Vanni Noferini Paul Van Dooren Université catholique de Louvain Department of Mathematical Engineering Av. Lemaitre 4 B-1348 Louvain-la-Neuve Belgium
We analyze the recovery of different roles in a network modeled by a directed graph, based on the so-called Neighborhood Pattern Similarity approach. Our analysis uses results from random matrix theory to show that, w... 详细信息
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Exploiting homophily to characterize communities in online social networks
Exploiting homophily to characterize communities in online s...
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Concurrency and Computation: Practice and Experience
作者: De Salve, Andrea Guidi, Barbara Michienzi, Andrea Consiglio Nazionale delle Ricerche Institute of Applied Sciences and Intelligent Systems Lecce Italy Dipartimento di Informatica Universitã di Pisa Pisa Italy
Online social networks (OSNs) have become one of the most popular platforms where people communicate by sharing contents and personal information. The interactions performed by the users allow to identify the homophil... 详细信息
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Merge-split Markov chain Monte Carlo for community detection
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Physical Review E 2020年 第1期102卷 012305-012305页
作者: Tiago P. Peixoto Department of Network and Data Science Central European University H-1051 Budapest Hungary ISI Foundation Via Chisola 5 10126 Torino Italy and Department of Mathematical Sciences University of Bath Claverton Down Bath BA2 7AY United Kingdom
We present a Markov chain Monte Carlo scheme based on merges and splits of groups that is capable of efficiently sampling from the posterior distribution of network partitions, defined according to the stochastic bloc... 详细信息
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