Výsledky vyhledávání - "Community detection algorithms"

A Comprehensive Analysis of Multilayer Community Detection Algorithms for Application to EEG-Based Brain Networks Autor Puxeddu, Maria Grazia, Petti, Manuela, Astolfi, Laura

“… Moreover, brain networks are intrinsically multilayer since their attributes can vary across time, subjects, frequency, or other domains…”
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A Scheme to Design Community Detection Algorithms in Various Networks Autor Lu, Haoye, Nayak, Amiya

“…Network structures, consisting of nodes and edges, have applications in almost all subjects…”
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Improved relation extraction through key phrase identification using community detection on dependency trees Autor Liu, Shuang, Chen, Xunqin, Meng, Jiana, Lukač, Niko

“…•Discovering phrases in text by using community detection algorithms on syntax dependency trees…”
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Comparing Community Detection Algorithms on Neuroimaging Data from Multiple Subjects Autor De Souza, Joshua, Taya, Fumihiko, Thakor, Nitish V., Bezerianos, Anastasios

“…""In this paper, we propose a method to compare different community detection algorithms for multiple subjects data in terms of the agreement of a group-based community structure with individual community…”
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Investigation on the Distribution Characteristics of Chinese Continuing Education Based on the Community Detection Algorithm in Complex Networks Autor Lai, Yuping, Yuan, Qin, Yu, Qinming

“… Based on the community detection algorithm in complex networks, this article makes thorough research and analysis on the complexity of Chinese continuing education by using complex network technology…”
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A novel trust-based community detection algorithm used in social networks Autor Chen, Xianhuan, Xia, Chengyi, Wang, Jin

“…•A novel trust-based non-overlapping community detection algorithm is proposed.•Different trust relationship is quantitatively depicted according to the strength of ties and node similarity…”
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Community Detection Algorithm for Dynamic Academic Network Autor Pu, Shi, Zhao, Wei-dong

“… The existing community detection algorithms ignore the dynamic characteristics of the scientific research network…”
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CSIM: A Fast Community Detection Algorithm Based on Structure Information Maximization Autor Liu, Yiwei, Liu, Wencong, Tang, Xiangyun, Yin, Hao, Yin, Peng, Xu, Xin, Wang, Yanbin

“… This pioneering definition lays the foundation for the proposed fast community detection algorithm CSIM, boasting an average time complexity of only O(nlogn…”
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A Functional Cartography of Cognitive Systems Autor Mattar, Marcelo G., Cole, Michael W., Thompson-Schill, Sharon L., Bassett, Danielle S.

“… connectivity between brain regions reconfigure as human subjects perform 64 different tasks. By applying dynamic community detection algorithms, we identify groups of brain…”
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Brain Tumor Segmentation using Community Detection Algorithm Autor Gammoudi, Islem, Mahjoub, Mohamed Ali

“… We introduce the tumor segmentation framework based on traditional machine learning and community detection algorithm…”
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Kernel machine tests of association using extrinsic and intrinsic cluster evaluation metrics Autor Jensen, Alexandria M., DeWitt, Peter, Bettcher, Brianne M., Wrobel, Julia, Kechris, Katerina, Ghosh, Debashis

“… The literature on analysis of these community detection algorithms has focused on comparing them within the same subject…”
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Interactive Multiresolution Visualization of Cellular Network Processes Autor Ortega, Oscar O., Lopez, Carlos F.

“… We show that community-detection algorithms identify groups of molecular species that capture key biological functions and ease exploration of the apoptosis network…”
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Comparison method for community detection on brain networks from neuroimaging data Autor Taya, Fumihiko, de Souza, Joshua, Thakor, Nitish V., Bezerianos, Anastasios

“…The brain is a complex system consisting of regions dedicated to different brain functions, and higher cognitive functions are realized via information flow…”
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On community structure in complex networks: challenges and opportunities Autor Cherifi, Hocine, Palla, Gergely, Szymanski, Boleslaw K., Lu, Xiaoyan

“… Here, we first focus on generative models of communities in complex networks and their role in developing strong foundation for community detection algorithms…”
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Abnormal brain network reconfiguration in neuropsychiatric disorders across cognitive decline, Depression, and Schizophrenia Autor He, Yan, Yan, Zhiqiang, Liang, Yuan, Yu, Yunli

“… Subsequently, the nodal behavior characteristics within these dynamic brain networks are quantified by integrating robust dynamic community detection algorithms and network…”
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EXTENDED STOCHASTIC BLOCK MODELS WITH APPLICATION TO CRIMINAL NETWORKS Autor Legramanti, Sirio, Rigon, Tommaso, Durante, Daniele, Dunson, David B

“… of the criminal organization. The coexistence of these noisy block patterns limits the reliability of routinely-used community detection algorithms, and requires extensions of model-based solutions to realistically characterize…”
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Classifying schizophrenic and controls from fMRI data using graph theoretic framework and community detection Autor Nallusamy, Kalaichelvi, Easwarakumar, K. S.

“… In this paper, we propose a method for classifying schizophrenia and normal subjects from fMRI images by employing graph similarity and community detection algorithms…”
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Spread and control of medical rumors in a social network: A generalized diffusion model with a highly asymmetric network structure Autor Liao, Chen‐Nan, Chen, Ying‐Ju, Chen, Vincent (Pei‐Ming)

“… This network can be generated from real‐world data by community detection algorithms. We provide methods to numerically calculate the final size of a rumor in each…”
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Structural brain network topological alterations in stuttering adults Autor Gracco, Vincent L., Sares, Anastasia G., Koirala, Nabin

“… Diffusion-weighted imaging data of 33 subjects (13 adults who stutter and 20 fluent speakers…”
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A weighted prior tensor train decomposition method for community detection in multi-layer networks Autor Peng, Siyuan, Yang, Mingliang, Yang, Zhijing, Chen, Tianshui, Xie, Jieming, Ma, Guang

“…Community detection in multi-layer networks stands as a prominent subject within network analysis research…”
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