Results 31 to 40 of about 8,185,565 (250)

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning [PDF]

, 2021
Community detection, a fundamental task for network analysis, aims to partition a network into multiple sub-structures to help reveal their latent functions.
Wu, Jia, Zhang, Weixiong, Jin, Di, Jiao, Pengfei, Pan, Shirui, Yu, Zhizhi, He, Dongxiao, Yu, Philip S, Jin, D, Zhang, W, Wu, J, Jiao, P, Pan, S, Yu, Z, He, D, Yu, P, Dongxiao He, Pengfei Jiao, Jia Wu, Philip Yu, Zhizhi Yu, Shirui Pan, Di Jin, Weixiong Zhang   +23 more
core   +1 more source

Co-Community Network Analysis Reveals Alterations in Brain Networks in Alzheimer’s Disease

Brain Sciences
Background: Alzheimer’s disease (AD) is a common neurodegenerative disease. Functional magnetic resonance imaging (fMRI) can be used to measure the temporal correlation of blood-oxygen-level-dependent (BOLD) signals in the brain to assess the brain’s ...
Xiaodong Wang, Zhaokai Zhang, Lingli Deng, Jiyang Dong   +3 more
doaj   +1 more source

Relationship Between Surgeon’s Brain Functional Network Reconfiguration and Performance Level During Robot-Assisted Surgery

IEEE Access, 2018
The current methods of assessment of surgical performance for robot-assisted surgery are subjective. In this paper, we propose a cognitive-based method for objective evaluation of performance. Changes in brain functional networks were extracted and their
Somayeh B. Shafiei, Ahmed Aly Hussein, Khurshid A. Guru   +2 more
doaj   +1 more source

Uncovering the Online Social Structure Surrounding COVID-19

Journal of Social Computing, 2021
How do people talk about COVID-19 online? To address this question, we offer an unsupervised framework that allows us to examine Twitter framings of the pandemic.
Philip D. Waggoner, Robert Y. Shapiro, Samuel Frederick, Ming Gong   +3 more
doaj   +1 more source

Network-based prediction of anti-cancer drug combinations

Frontiers in Pharmacology
Drug combinations have emerged as a promising therapeutic approach in cancer treatment, aimed at overcoming drug resistance and improving the efficacy of monotherapy regimens.
Jue Jiang, Xuxu Wei, YuKang Lu, Simin Li, Xue Xu   +4 more
doaj   +1 more source

Community Detection using a New Node Scoring and Synchronous Label Updating of Boundary Nodes in Social Networks [PDF]

Journal of Artificial Intelligence and Data Mining, 2020
Community structure is vital to discover the important structures and potential property of complex networks. In recent years, the increasing quality of local community detection approaches has become a hot spot in the study of complex network due to the
M. Zarezade, E. Nourani, Asgarali Bouyer
doaj   +1 more source

A Novel Community Detection Algorithm Based on Local Similarity of Clustering Coefficient in Social Networks

IEEE Access, 2019
Community structures are integral and independent parts in a network. Community detection plays an important role in social networks for understanding the structure and predicting user behaviors.
Xiaohui Pan, Guiqiong Xu, Bing Wang, Tao Zhang   +3 more
doaj   +1 more source

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld, Scott H. Maurer, Michelle D. Watkinson, John Nury, Elise Barberis, Molly C. Mack   +5 more
wiley   +1 more source

A Filtered Gradient Descent Clustering Method to Recover Communities in Attributed Networks

IEEE Access
An attributed network is a network in which in addition to the network structure each node is associated with a set of attributes. Community detection in such networks involves recovering the clusters by simultaneously using the network data and the node
Soroosh Shalileh
doaj   +1 more source

Nearest Neighbor Search in the Metric Space of a Complex Network for Community Detection

Information, 2016
The objective of this article is to bridge the gap between two important research directions: (1) nearest neighbor search, which is a fundamental computational tool for large data analysis; and (2) complex network analysis, which deals with large real ...
Suman Saha, Satya P. Ghrera
doaj   +1 more source